diff --git a/alert_system/__init__.py b/alert_system/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/alert_system/admin.py b/alert_system/admin.py
new file mode 100644
index 000000000..b2fabd5ea
--- /dev/null
+++ b/alert_system/admin.py
@@ -0,0 +1,34 @@
+from django.contrib import admin
+
+from .models import Connector, ExtractionItem, LoadItems
+
+
+@admin.register(Connector)
+class ConnectorAdmin(admin.ModelAdmin):
+    list_display = ("id", "type", "last_success_run", "status")
+    readonly_fields = ("last_success_run",)
+
+
+@admin.register(ExtractionItem)
+class EventAdmin(admin.ModelAdmin):
+    list_display = ("stac_id", "created_at", "collection")
+    list_filter = ("connector", "collection")
+    readonly_fields = ("connector",)
+    search_fields = ("stac_id",)
+
+
+@admin.register(LoadItems)
+class LoadAdmin(admin.ModelAdmin):
+    list_display = (
+        "id",
+        "event_title",
+        "created_at",
+        "correlation_id",
+        "item_eligible",
+    )
+    list_filter = (
+        "connector",
+        "item_eligible",
+    )
+    readonly_fields = ("connector", "item_eligible")
+    search_fields = ("id",)
diff --git a/alert_system/apps.py b/alert_system/apps.py
new file mode 100644
index 000000000..83d2cc2c7
--- /dev/null
+++ b/alert_system/apps.py
@@ -0,0 +1,6 @@
+from django.apps import AppConfig
+
+
+class AlertSystemConfig(AppConfig):
+    default_auto_field = "django.db.models.BigAutoField"
+    name = "alert_system"
diff --git a/alert_system/etl/Gdacs_flood/config.py b/alert_system/etl/Gdacs_flood/config.py
new file mode 100644
index 000000000..3170259d9
--- /dev/null
+++ b/alert_system/etl/Gdacs_flood/config.py
@@ -0,0 +1,10 @@
+# NOTE: Store Config files here. Might need to refactor if source supports filtering with hazards.
+class GdacsFloodConfig:
+    def __init__(self):
+        self.event_endpoint = "/gdacs-events/items"
+        self.hazard_endpoint = "/gdacs-hazards/items"
+        self.impact_endpoint = "/gdacs-impacts/items"
+        self.people_exposed_threshold = 5
+
+
+gdacs_flood_config = GdacsFloodConfig()
diff --git a/alert_system/etl/Gdacs_flood/extraction.py b/alert_system/etl/Gdacs_flood/extraction.py
new file mode 100644
index 000000000..4759d48c4
--- /dev/null
+++ b/alert_system/etl/Gdacs_flood/extraction.py
@@ -0,0 +1,23 @@
+import logging
+
+from alert_system.etl.base.extraction import BaseExtractionClass
+from alert_system.etl.base.loader import BaseLoaderClass
+from alert_system.etl.base.transform import BaseTransformerClass
+
+from .config import gdacs_flood_config
+from .loader import GdacsLoader
+from .transform import GdacsTransformer
+
+logger = logging.getLogger(__name__)
+
+
+class GdacsFloodExtraction(BaseExtractionClass):
+    event_endpoint = gdacs_flood_config.event_endpoint
+    hazard_endpoint = getattr(gdacs_flood_config, "hazard_endpoint", None)
+    impact_endpoint = getattr(gdacs_flood_config, "impact_endpoint", None)
+
+    def get_transformer_class(self) -> type[BaseTransformerClass]:
+        return GdacsTransformer
+
+    def get_loader_class(self) -> type[BaseLoaderClass]:
+        return GdacsLoader
diff --git a/alert_system/etl/Gdacs_flood/loader.py b/alert_system/etl/Gdacs_flood/loader.py
new file mode 100644
index 000000000..ed5c72bbd
--- /dev/null
+++ b/alert_system/etl/Gdacs_flood/loader.py
@@ -0,0 +1,13 @@
+from alert_system.etl.base.loader import BaseLoaderClass
+
+from .config import gdacs_flood_config
+
+
+class GdacsLoader(BaseLoaderClass):
+    people_exposed_threshold = gdacs_flood_config.people_exposed_threshold
+
+    # NOTE: Add additional changes to the filter here. This is example only.
+    def filter_eligible_items(self, load_obj):
+        if load_obj.get("people_exposed") > GdacsLoader.people_exposed_threshold:
+            return True
+        return False
diff --git a/alert_system/etl/Gdacs_flood/transform.py b/alert_system/etl/Gdacs_flood/transform.py
new file mode 100644
index 000000000..6257c2880
--- /dev/null
+++ b/alert_system/etl/Gdacs_flood/transform.py
@@ -0,0 +1,90 @@
+import logging
+from typing import Dict, Tuple
+
+from alert_system.etl.base.transform import BaseTransformerClass
+
+logger = logging.getLogger(__name__)
+
+
+class GdacsTransformer(BaseTransformerClass):
+    """
+    Transformer for GDACS STAC impacts.
+    Extracts and normalizes impact fields, computes derived values, and stores metadata.
+    """
+
+    # Mapping of (category, type) → flattened key
+    IMPACT_MAP: Dict[Tuple[str, str], str] = {
+        ("people", "potentially_affected"): "people.potentially_affected",
+        ("people", "death"): "people.death",
+        ("people", "affected_total"): "people.affected_total",
+        ("people", "affected_direct"): "people.affected_direct",
+        ("people", "affected_indirect"): "people.affected_indirect",
+        ("people", "highest_risk"): "people.highest_risk",
+        ("buildings", "destroyed"): "buildings.destroyed",
+    }
+
+    # NOTE: This logic might change in future
+    def compute_people_exposed(self, impacts: dict) -> int:
+        value = next(
+            (
+                impacts.get(key)
+                for key in ["people.affected_total", "people.potentially_affected", "people.affected_direct"]
+                if impacts.get(key)
+            ),
+            0,
+        )
+        if not isinstance(value, int):
+            logger.warning(f"people_exposed value is not int: {value}")
+            return 0
+        return value
+
+    # NOTE: This logic might change in future
+    def compute_buildings_exposed(self, impacts: dict) -> int:
+        """
+        Compute the 'buildings_exposed' field.
+        """
+        return impacts.get("buildings.destroyed") or 0
+
+    def process_impact(self, impact_items) -> BaseTransformerClass.ImpactType:
+        raw_impacts, metadata = {}, {}
+        for item in impact_items:
+            properties = item.resp_data.get("properties", {})
+            impact_detail = properties.get("monty:impact_detail", {})
+            category = impact_detail.get("category")
+            type_ = impact_detail.get("type")
+            value = impact_detail.get("value")
+            if category and type_:
+                field = self.IMPACT_MAP.get((category, type_)) or f"{category}.{type_}"
+                raw_impacts[field] = value
+                metadata[field] = impact_detail
+
+        return {
+            "people_exposed": self.compute_people_exposed(raw_impacts),
+            "buildings_exposed": self.compute_buildings_exposed(raw_impacts),
+            "impact_metadata": metadata,
+        }
+
+    def process_hazard(self, hazard_item) -> BaseTransformerClass.HazardType:
+        if not hazard_item:
+            return {
+                "severity_unit": "",
+                "severity_label": "",
+                "severity_value": 0,
+            }
+
+        properties = hazard_item.resp_data.get("properties", {})
+        detail = properties.get("monty:hazard_detail", {})
+
+        return {
+            "severity_unit": detail.get("severity_unit", ""),
+            "severity_label": detail.get("severity_label", ""),
+            "severity_value": detail.get("severity_value", 0),
+        }
+
+    def process_event(self, event_item) -> BaseTransformerClass.EventType:
+        properties = event_item.resp_data.get("properties", {})
+        return {
+            "title": properties.get("title", ""),
+            "description": properties.get("description", ""),
+            "country": properties.get("monty:country_codes", ""),
+        }
diff --git a/alert_system/etl/base/extraction.py b/alert_system/etl/base/extraction.py
new file mode 100644
index 000000000..4d75baf7e
--- /dev/null
+++ b/alert_system/etl/base/extraction.py
@@ -0,0 +1,225 @@
+import abc
+import logging
+from abc import ABC
+from datetime import datetime, timedelta, timezone
+from typing import Dict, Generator, List, Optional
+
+import httpx
+from django.db import transaction
+
+from alert_system.models import Connector, ExtractionItem
+
+from .loader import BaseLoaderClass
+from .transform import BaseTransformerClass
+
+logger = logging.getLogger(__name__)
+
+
+class BaseExtractionClass(ABC):
+    """Base class for extracting STAC data from various disaster monitoring sources."""
+
+    event_endpoint: str
+    hazard_endpoint: str | None
+    impact_endpoint: str | None
+    filter_event: Optional[Dict] = {}
+    filter_hazard: Optional[Dict] = {}
+    filter_impact: Optional[Dict] = {}
+
+    def __init__(self, connector: Connector):
+        if not self.event_endpoint:
+            raise NotImplementedError(f"{self.__class__.__name__} must define event_endpoint, ")
+        self.connector = connector
+        self.base_url = connector.source_url.rstrip("/")
+
+    def fetch_stac_data(self, url: str, filters: Optional[Dict] = None) -> Generator[Dict, None, None]:
+        """
+        Fetch STAC data with pagination support.
+
+        """
+        current_url = url
+        current_payload = filters.copy() if filters else None
+
+        while current_url:
+            response = httpx.get(current_url, params=current_payload, timeout=30)
+            response.raise_for_status()
+            data = response.json()
+
+            yield from data.get("features", [])
+
+            # Find next page link
+            current_url = next((link["href"] for link in data.get("links", []) if link.get("rel") == "next"), None)
+            current_payload = None  # Only use params on first request
+
+    @abc.abstractmethod
+    def get_transformer_class(self) -> type[BaseTransformerClass]:
+        raise NotImplementedError()
+
+    @abc.abstractmethod
+    def get_loader_class(self) -> type[BaseLoaderClass]:
+        raise NotImplementedError()
+
+    def _get_correlation_id(self, feature: Dict) -> str:
+        """Extract correlation ID from feature properties."""
+        return feature.get("properties", {}).get("monty:corr_id")
+
+    def _build_base_defaults(self, feature: Dict) -> Dict:
+        """Build common default fields for all STAC items."""
+        return {
+            "correlation_id": self._get_correlation_id(feature),
+            "resp_data": feature,
+            "connector": self.connector,
+        }
+
+    def get_datetime_filter(self) -> str:
+        """
+        Generate datetime filter string for STAC queries.
+
+        Returns:
+            ISO 8601 datetime range string
+        """
+        now = datetime.now(timezone.utc)
+        last_run = self.connector.last_success_run
+
+        start_time = last_run if last_run else (now - timedelta(days=15))
+        return f"{start_time.isoformat()}/{now.isoformat()}"
+
+    def _build_filter(self, base_filter: Optional[Dict], correlation_id: str) -> Dict:
+        """Build filter dict with correlation ID."""
+        filters = base_filter.copy() if base_filter else {}
+        filters["filter"] = f"monty:corr_id = '{correlation_id}'"
+        return filters
+
+    def _fetch_items(self, endpoint: str | None, filter_attr: str, correlation_id: str) -> Generator[Dict, None, None]:
+        """
+        Generic method to fetch items with correlation ID filtering.
+
+        """
+        url = f"{self.base_url}{endpoint}"
+        base_filter = getattr(self.connector, filter_attr, None)
+        filters = self._build_filter(base_filter, correlation_id)
+
+        return self.fetch_stac_data(url, filters)
+
+    def _save_stac_item(self, stac_id: str, defaults: Dict, item_type: str) -> Optional[ExtractionItem]:
+        """
+        Generic method to save or update STAC items.
+
+        """
+        try:
+            obj, created = ExtractionItem.objects.update_or_create(stac_id=stac_id, defaults=defaults)
+            action = "Created" if created else "Updated"
+            logger.info(f"{action} {item_type} {stac_id}")
+            return obj
+        except Exception as e:
+            logger.error(f"Failed to save {item_type} {stac_id}: {e}", exc_info=True)
+            return None
+
+    def _extract_impact_items(self, stac_obj: ExtractionItem) -> List[ExtractionItem]:
+        """Process impact items related to a STAC event object."""
+        if not self.impact_endpoint:
+            logger.info("No impact endpoint defined.")
+            return []
+        impact_objects: List[ExtractionItem] = []
+        try:
+            impact_features = self._fetch_items(self.impact_endpoint, "filter_impact", stac_obj.correlation_id)
+        except Exception as e:
+            logger.error(f"Failed to fetch impacts for event {stac_obj.stac_id}: {e}")
+            return []
+
+        for feature in impact_features:
+            impact_id = feature.get("id", None)
+            if not impact_id:
+                logger.error(f"Impact feature missing 'id': {feature}")
+                continue
+
+            defaults = self._build_base_defaults(feature)
+            defaults.update({"collection": ExtractionItem.CollectionType.IMPACT})
+            impact_object = self._save_stac_item(impact_id, defaults, "impact")
+            if impact_object:
+                impact_objects.append(impact_object)
+        return impact_objects
+
+    def _extract_hazard_items(self, stac_obj: ExtractionItem) -> ExtractionItem | None:
+        """Process hazard items related to a STAC event object."""
+        if not self.hazard_endpoint:
+            logger.info("No hazard endpoint defined")
+            return
+        try:
+            hazard_features = self._fetch_items(self.hazard_endpoint, "filter_hazard", stac_obj.correlation_id)
+        except Exception as e:
+            logger.error(f"Failed to fetch hazards for event {stac_obj.stac_id}: {e}")
+            raise
+
+        hazard_feature = next(hazard_features, None)
+        if not hazard_feature:
+            logger.info("No hazard features found — skipping hazard processing.")
+            return
+
+        hazard_id = hazard_feature.get("id", None)
+        if not hazard_id:
+            logger.error(f"No hazard id found for {hazard_feature}")
+            return
+
+        defaults = self._build_base_defaults(hazard_feature)
+        defaults.update({"collection": ExtractionItem.CollectionType.HAZARD})
+        hazard_obj = self._save_stac_item(hazard_id, defaults, "hazard")
+        return hazard_obj
+
+    def process_event_items(self) -> None:
+        """Process all event items from the connector source."""
+        event_url = f"{self.base_url}{self.event_endpoint}"
+        event_filter = (self.filter_event or {}).copy()
+        event_filter["datetime"] = self.get_datetime_filter()
+
+        transformer_class = self.get_transformer_class()
+        loader_class = self.get_loader_class()
+        loader = loader_class()
+
+        try:
+            event_items = self.fetch_stac_data(event_url, event_filter)
+        except Exception as e:
+            logger.error(f"Failed to fetch events: {e}")
+            raise
+
+        for feature in event_items:
+            event_id = feature.get("id", None)
+            if not event_id:
+                logger.error(f"No event id found for {feature}")
+                continue
+            defaults = self._build_base_defaults(feature=feature)
+            defaults.update({"collection": ExtractionItem.CollectionType.EVENT})
+
+            try:
+                with transaction.atomic():
+                    event_obj = self._save_stac_item(event_id, defaults, "event")
+                    if not event_obj:
+                        logger.info("No event item extracted")
+                        continue
+                    hazard_obj = self._extract_hazard_items(event_obj)
+                    impact_obj = self._extract_impact_items(event_obj)
+
+                    transformer = transformer_class(
+                        event_obj=event_obj,
+                        hazard_obj=hazard_obj,
+                        impact_obj=impact_obj,
+                    )
+                    transformed_data = transformer.transform_stac_item()
+
+                loader.load(transformed_data, self.connector)
+
+                logger.info(f"Successfully processed event {event_id}")
+
+            except Exception as e:
+                logger.error(f"Failed to process event {event_id}: {e}", exc_info=True)
+                raise
+
+    def run(self) -> None:
+        """Main entry point for running the connector."""
+        logger.info(f"Starting connector run for {self.connector}")
+
+        try:
+            self.process_event_items()
+            logger.info("Connector run completed successfully")
+        except Exception as e:
+            logger.error(f"Connector run failed: {e}", exc_info=True)
+            raise
diff --git a/alert_system/etl/base/loader.py b/alert_system/etl/base/loader.py
new file mode 100644
index 000000000..538d0277e
--- /dev/null
+++ b/alert_system/etl/base/loader.py
@@ -0,0 +1,51 @@
+import logging
+from abc import ABC, abstractmethod
+from typing import Dict
+
+from alert_system.models import Connector, LoadItems
+
+logger = logging.getLogger(__name__)
+
+
+class BaseLoaderClass(ABC):
+    """Loads transformed data into DisasterEvent table."""
+
+    @abstractmethod
+    def filter_eligible_items(self, load_obj):
+        raise NotImplementedError()
+
+    def load(self, transformed_data: Dict, connector: Connector) -> LoadItems:
+        """
+        Save aggregated event.
+
+        Args:
+            transformed_data: Output from transformer.transform()
+            connector: The connector this data came from
+
+        Returns:
+            Created DisasterEvent object
+        """
+        correlation_id = transformed_data["correlation_id"]
+        is_item_eligible = self.filter_eligible_items(transformed_data)
+
+        load_obj, created = LoadItems.objects.update_or_create(
+            correlation_id=correlation_id,
+            defaults={
+                "connector": connector,
+                "event_title": transformed_data.get("title"),
+                "event_description": transformed_data.get("description"),
+                "country": transformed_data.get("country"),
+                "severity_value": transformed_data.get("severity_value"),
+                "severity_label": transformed_data.get("severity_label"),
+                "severity_unit": transformed_data.get("severity_unit"),
+                "total_people_exposed": transformed_data.get("people_exposed"),
+                "total_buildings_exposed": transformed_data.get("buildings_exposed"),
+                "impact_metadata": transformed_data.get("impact_metadata"),
+                "item_eligible": is_item_eligible,
+            },
+        )
+
+        action = "Created" if created else "Updated"
+        logger.info(f"{action} Event for correlation_id={correlation_id}")
+
+        return load_obj
diff --git a/alert_system/etl/base/transform.py b/alert_system/etl/base/transform.py
new file mode 100644
index 000000000..c558a38bc
--- /dev/null
+++ b/alert_system/etl/base/transform.py
@@ -0,0 +1,66 @@
+import logging
+from abc import ABC, abstractmethod
+from typing import List, Optional, TypedDict
+
+from alert_system.models import ExtractionItem
+
+logger = logging.getLogger(__name__)
+
+
+class BaseTransformerClass(ABC):
+
+    class ImpactType(TypedDict):
+        people_exposed: int
+        buildings_exposed: int
+        impact_metadata: dict[str, dict]
+
+    class HazardType(TypedDict):
+        severity_unit: str
+        severity_label: Optional[str]
+        severity_value: int
+
+    class EventType(TypedDict):
+        title: str
+        description: str
+        country: str
+
+    def __init__(
+        self, event_obj: ExtractionItem, hazard_obj: Optional[ExtractionItem] = None, impact_obj: List[ExtractionItem] = []
+    ):
+        self.event_obj = event_obj
+        self.hazard_obj = hazard_obj
+        self.impact_obj = impact_obj
+        self.correlation_id = event_obj.correlation_id
+
+    @abstractmethod
+    def process_hazard(self, hazard_item: ExtractionItem | None) -> HazardType:
+        pass
+
+    @abstractmethod
+    def process_impact(self, impact_items: List[ExtractionItem]) -> ImpactType:
+        pass
+
+    @abstractmethod
+    def process_event(self, event_item: ExtractionItem) -> EventType:
+        pass
+
+    def transform_stac_item(self):
+        """
+        Transform STAC items for a given extraction object.
+
+        Fetches event, hazard and impact items separately, processes them,
+        and returns processed data if available.
+        """
+        logger.info(f"Starting transformer for correlation_id={self.correlation_id}")
+        # Process event, hazard and impact.
+
+        event_result = self.process_event(self.event_obj)
+        hazard_result = self.process_hazard(self.hazard_obj)
+        impact_result = self.process_impact(self.impact_obj)
+
+        return {
+            "correlation_id": self.correlation_id,
+            **event_result,
+            **hazard_result,
+            **impact_result,
+        }
diff --git a/alert_system/management/commands/poll_gdacs_cyclone.py b/alert_system/management/commands/poll_gdacs_cyclone.py
new file mode 100644
index 000000000..3bc4cf9a8
--- /dev/null
+++ b/alert_system/management/commands/poll_gdacs_cyclone.py
@@ -0,0 +1,29 @@
+import logging
+
+from django.core.management.base import BaseCommand
+
+from alert_system.models import Connector
+from alert_system.tasks import process_connector_task
+
+logger = logging.getLogger(__name__)
+
+
+class Command(BaseCommand):
+    help = "Command to extract data from eoapi"
+
+    SOURCE_TYPE = 200
+
+    def handle(self, *args, **options):
+        if not self.SOURCE_TYPE:
+            raise ValueError("SOURCE_TYPE must be defined")
+        self.stdout.write("Starting extraction task...")
+        connector = Connector.objects.filter(type=self.SOURCE_TYPE).first()
+        if not connector:
+            logger.warning("No connectors found.")
+            return
+
+        process_connector_task.delay(connector.id)
+
+        logger.info("Connector task dispatched.")
+
+        self.stdout.write("Extraction task finished.")
diff --git a/alert_system/management/commands/poll_gdacs_flood.py b/alert_system/management/commands/poll_gdacs_flood.py
new file mode 100644
index 000000000..3dab7aad1
--- /dev/null
+++ b/alert_system/management/commands/poll_gdacs_flood.py
@@ -0,0 +1,29 @@
+import logging
+
+from django.core.management.base import BaseCommand
+
+from alert_system.models import Connector
+from alert_system.tasks import process_connector_task
+
+logger = logging.getLogger(__name__)
+
+
+class Command(BaseCommand):
+    help = "Command to extract data of gdacs-flood from eoapi"
+
+    SOURCE_TYPE = 100
+
+    def handle(self, *args, **options):
+        if not self.SOURCE_TYPE:
+            raise ValueError("SOURCE_TYPE must be defined")
+        self.stdout.write("Starting extraction task...")
+        connector = Connector.objects.filter(type=self.SOURCE_TYPE).first()
+        if not connector:
+            logger.warning("No connectors found.")
+            return
+
+        process_connector_task.delay(connector.id)
+
+        logger.info("Connector task dispatched.")
+
+        self.stdout.write("Extraction task finished.")
diff --git a/alert_system/management/commands/poll_usgs_earthquake.py b/alert_system/management/commands/poll_usgs_earthquake.py
new file mode 100644
index 000000000..24efec0b6
--- /dev/null
+++ b/alert_system/management/commands/poll_usgs_earthquake.py
@@ -0,0 +1,29 @@
+import logging
+
+from django.core.management.base import BaseCommand
+
+from alert_system.models import Connector
+from alert_system.tasks import process_connector_task
+
+logger = logging.getLogger(__name__)
+
+
+class Command(BaseCommand):
+    help = "Command to extract data from eoapi"
+
+    SOURCE_TYPE = 300
+
+    def handle(self, *args, **options):
+        if not self.SOURCE_TYPE:
+            raise ValueError("SOURCE_TYPE must be defined.")
+        self.stdout.write("Starting extraction task...")
+        connector = Connector.objects.filter(type=self.SOURCE_TYPE).first()
+        if not connector:
+            logger.warning("No connectors found.")
+            return
+
+        process_connector_task.delay(connector.id)
+
+        logger.info("Connector task dispatched.")
+
+        self.stdout.write("Extraction task finished.")
diff --git a/alert_system/mappings.py b/alert_system/mappings.py
new file mode 100644
index 000000000..af76a60be
--- /dev/null
+++ b/alert_system/mappings.py
@@ -0,0 +1,15 @@
+from dataclasses import dataclass
+
+from alert_system.etl.Gdacs_flood.extraction import GdacsFloodExtraction
+from alert_system.models import Connector
+
+
+# NOTE: Store all the mappings here.
+@dataclass
+class ConnectorClasses:
+    extractor: type
+
+
+CONNECTOR_REGISTRY = {
+    Connector.ConnectorType.GDACS_FLOOD: ConnectorClasses(extractor=GdacsFloodExtraction),
+}
diff --git a/alert_system/migrations/0001_initial.py b/alert_system/migrations/0001_initial.py
new file mode 100644
index 000000000..3a2b6114e
--- /dev/null
+++ b/alert_system/migrations/0001_initial.py
@@ -0,0 +1,70 @@
+# Generated by Django 4.2.26 on 2025-11-28 06:26
+
+import django.contrib.postgres.fields
+from django.db import migrations, models
+import django.db.models.deletion
+
+
+class Migration(migrations.Migration):
+
+    initial = True
+
+    dependencies = [
+    ]
+
+    operations = [
+        migrations.CreateModel(
+            name='Connector',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('type', models.IntegerField(choices=[(100, 'GDACS Flood'), (200, 'GDACS Cyclone'), (300, 'USGS Earthquake')], help_text='Type of disaster data connector', unique=True, verbose_name='Connector Type')),
+                ('status', models.IntegerField(choices=[(10, 'Initialized'), (20, 'Success'), (30, 'Failed'), (40, 'Running')], default=10, help_text='Current status of the connector', verbose_name='Status')),
+                ('source_url', models.URLField(help_text='Base URL for the STAC API endpoint', verbose_name='Source URL')),
+                ('last_success_run', models.DateTimeField(blank=True, help_text='Timestamp of the last successful data fetch', null=True, verbose_name='Last Successful Run')),
+            ],
+            options={
+                'verbose_name': 'Connector',
+                'verbose_name_plural': 'Connectors',
+                'ordering': ['type'],
+            },
+        ),
+        migrations.CreateModel(
+            name='LoadItems',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('created_at', models.DateTimeField(auto_now_add=True, help_text='Timestamp when the record was created', verbose_name='Created At')),
+                ('correlation_id', models.CharField(help_text='Correlation identifier linking all models', max_length=255, verbose_name='Correlation ID')),
+                ('event_title', models.CharField(help_text='Title of the event', max_length=255, verbose_name='Event Title')),
+                ('event_description', models.TextField(help_text='Description of the event', verbose_name='Event Description')),
+                ('country', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=150), help_text='Country of the item', null=True, size=None)),
+                ('severity_unit', models.CharField(blank=True, help_text='Unit of measurement for severity', max_length=100, null=True, verbose_name='Severity Unit')),
+                ('severity_label', models.CharField(blank=True, help_text='Human-readable severity label (e.g., Red, Orange, Green)', max_length=255, null=True, verbose_name='Severity Label')),
+                ('severity_value', models.IntegerField(blank=True, help_text='Human-readable severity value', null=True, verbose_name='Severity Value')),
+                ('total_people_exposed', models.IntegerField(help_text='Total number of people exposed to event', verbose_name='Total People Exposed')),
+                ('total_buildings_exposed', models.IntegerField(help_text='Total number of buildings exposed to event', verbose_name='Total Buildings Exposed')),
+                ('impact_metadata', models.JSONField(help_text='Metadata constructed from all events associated', verbose_name='Impact Metadata')),
+                ('item_eligible', models.BooleanField(help_text='Is the item eligible for alerting')),
+                ('connector', models.ForeignKey(help_text='Data source connector', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_items', to='alert_system.connector', verbose_name='Connector')),
+            ],
+            options={
+                'verbose_name': 'Eligible Item',
+                'verbose_name_plural': 'Eligible Items',
+            },
+        ),
+        migrations.CreateModel(
+            name='ExtractionItem',
+            fields=[
+                ('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
+                ('created_at', models.DateTimeField(auto_now_add=True, help_text='Timestamp when the record was created', verbose_name='Created At')),
+                ('correlation_id', models.CharField(help_text='Correlation identifier linking all models', max_length=255, verbose_name='Correlation ID')),
+                ('collection', models.IntegerField(choices=[(100, 'Impacts'), (200, 'Hazard'), (300, 'Impact')], help_text='Collection type of the item', verbose_name='Collection')),
+                ('stac_id', models.CharField(db_index=True, help_text='Unique identifier for the event item', max_length=255, unique=True, verbose_name='Event ID')),
+                ('resp_data', models.JSONField(blank=True, help_text='Raw JSON response from the STAC API', null=True, verbose_name='Response Data')),
+                ('connector', models.ForeignKey(help_text='Data source connector', on_delete=django.db.models.deletion.CASCADE, related_name='%(class)s_items', to='alert_system.connector', verbose_name='Connector')),
+            ],
+            options={
+                'ordering': ['-created_at'],
+                'abstract': False,
+            },
+        ),
+    ]
diff --git a/alert_system/migrations/__init__.py b/alert_system/migrations/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/alert_system/models.py b/alert_system/models.py
new file mode 100644
index 000000000..5592b6635
--- /dev/null
+++ b/alert_system/models.py
@@ -0,0 +1,172 @@
+from django.contrib.postgres.fields import ArrayField
+from django.db import models
+from django.utils.translation import gettext_lazy as _
+
+
+class Connector(models.Model):
+    """
+    Configuration for different data source connectors.
+    """
+
+    class ConnectorType(models.IntegerChoices):
+        GDACS_FLOOD = 100, _("GDACS Flood")
+        GDACS_CYCLONE = 200, _("GDACS Cyclone")
+        USGS_EARTHQUAKE = 300, _("USGS Earthquake")
+
+    class Status(models.IntegerChoices):
+        INITIALIZED = 10, _("Initialized")
+        SUCCESS = 20, _("Success")
+        FAILED = 30, _("Failed")
+        RUNNING = 40, _("Running")
+
+    type = models.IntegerField(
+        choices=ConnectorType.choices,
+        unique=True,
+        verbose_name=_("Connector Type"),
+        help_text=_("Type of disaster data connector"),
+    )
+
+    status = models.IntegerField(
+        choices=Status.choices,
+        default=Status.INITIALIZED,
+        verbose_name=_("Status"),
+        help_text=_("Current status of the connector"),
+    )
+
+    source_url = models.URLField(verbose_name=_("Source URL"), help_text=_("Base URL for the STAC API endpoint"))
+
+    last_success_run = models.DateTimeField(
+        null=True, blank=True, verbose_name=_("Last Successful Run"), help_text=_("Timestamp of the last successful data fetch")
+    )
+
+    def __str__(self):
+        return self.get_type_display()  # type: ignore[attr-defined]
+
+    class Meta:
+        verbose_name = _("Connector")
+        verbose_name_plural = _("Connectors")
+        ordering = ["type"]
+
+
+class BaseItem(models.Model):
+    """
+    Abstract base model for items fetched from STAC API.
+
+    """
+
+    connector = models.ForeignKey(
+        Connector,
+        on_delete=models.CASCADE,
+        related_name="%(class)s_items",
+        verbose_name=_("Connector"),
+        help_text=_("Data source connector"),
+    )
+
+    created_at = models.DateTimeField(
+        auto_now_add=True, verbose_name=_("Created At"), help_text=_("Timestamp when the record was created")
+    )
+
+    correlation_id = models.CharField(
+        max_length=255,
+        verbose_name=_("Correlation ID"),
+        help_text=_("Correlation identifier linking all models"),
+    )
+
+    class Meta:
+        abstract = True
+        ordering = ["-created_at"]
+
+
+class ExtractionItem(BaseItem):
+    """
+    Model for Extraction items.
+    """
+
+    class CollectionType(models.IntegerChoices):
+        EVENT = 100, _("Impacts")
+        HAZARD = 200, _("Hazard")
+        IMPACT = 300, _("Impact")
+
+    collection = models.IntegerField(
+        choices=CollectionType.choices,
+        verbose_name=_("Collection"),
+        help_text=_("Collection type of the item"),
+    )
+
+    stac_id = models.CharField(
+        max_length=255,
+        unique=True,
+        db_index=True,
+        verbose_name=_("Event ID"),
+        help_text=_("Unique identifier for the event item"),
+    )
+
+    resp_data = models.JSONField(
+        null=True, blank=True, verbose_name=_("Response Data"), help_text=_("Raw JSON response from the STAC API")
+    )
+
+    def __str__(self):
+        return self.stac_id
+
+
+class LoadItems(BaseItem):
+    """
+    Model for Load items.
+    """
+
+    # TODO:  New id to be used in the future.
+    event_title = models.CharField(
+        max_length=255,
+        verbose_name=_("Event Title"),
+        help_text=_("Title of the event"),
+    )
+
+    event_description = models.TextField(
+        verbose_name=_("Event Description"),
+        help_text=_("Description of the event"),
+    )
+
+    country = ArrayField(models.CharField(max_length=150), null=True, help_text="Country of the item")
+
+    severity_unit = models.CharField(
+        max_length=100, null=True, blank=True, verbose_name=_("Severity Unit"), help_text=_("Unit of measurement for severity")
+    )
+
+    severity_label = models.CharField(
+        max_length=255,
+        null=True,
+        blank=True,
+        verbose_name=_("Severity Label"),
+        help_text=_("Human-readable severity label (e.g., Red, Orange, Green)"),
+    )
+
+    severity_value = models.IntegerField(
+        null=True,
+        blank=True,
+        verbose_name=_("Severity Value"),
+        help_text=_("Human-readable severity value"),
+    )
+
+    total_people_exposed = models.IntegerField(
+        verbose_name=_("Total People Exposed"),
+        help_text=_("Total number of people exposed to event"),
+    )
+
+    total_buildings_exposed = models.IntegerField(
+        verbose_name=_("Total Buildings Exposed"),
+        help_text=_("Total number of buildings exposed to event"),
+    )
+
+    # NOTE: This field might change in the future.
+    impact_metadata = models.JSONField(
+        verbose_name=_("Impact Metadata"),
+        help_text=_("Metadata constructed from all events associated"),
+    )
+
+    item_eligible = models.BooleanField(
+        help_text=_("Is the item eligible for alerting"),
+    )
+
+    class Meta:
+        verbose_name = _("Eligible Item")
+        verbose_name_plural = _("Eligible Items")
diff --git a/alert_system/tasks.py b/alert_system/tasks.py
new file mode 100644
index 000000000..f8bfcda3c
--- /dev/null
+++ b/alert_system/tasks.py
@@ -0,0 +1,50 @@
+import logging
+
+from celery import shared_task
+from celery.exceptions import MaxRetriesExceededError
+from django.db import transaction
+from django.utils import timezone
+
+from alert_system.mappings import CONNECTOR_REGISTRY
+
+from .models import Connector
+
+logger = logging.getLogger(__name__)
+
+
+@shared_task(bind=True, max_retries=3, retry_backoff=True)
+def process_connector_task(self, connector_id):
+    """
+    Celery task to run ETL for one connector.
+    """
+    connector = Connector.objects.get(id=connector_id)
+    connector.status = Connector.Status.RUNNING
+    connector.save(update_fields=["status"])
+    connector_class = CONNECTOR_REGISTRY[connector.type]
+    extraction_class = connector_class.extractor
+    connector_label = connector.ConnectorType(connector.type).label
+
+    try:
+        logger.info(f"[ETL] Starting connector: {connector_label}")
+
+        # Run ETL inside a transaction
+        with transaction.atomic():
+            processor = extraction_class(connector)
+            processor.run()
+
+            connector.status = Connector.Status.SUCCESS
+            connector.last_success_run = timezone.now()
+            connector.save(update_fields=["status", "last_success_run"])
+
+        logger.info(f"[ETL] Completed connector: {connector_label}")
+
+    except Exception as exc:
+        logger.exception(f"[ETL] Connector {connector.id} failed: {exc}")
+        connector.status = Connector.Status.FAILED
+        connector.save(update_fields=["status"])
+
+        try:
+            raise self.retry(exc=exc)
+        except MaxRetriesExceededError:
+            logger.error(f"[ETL] Max retries exceeded for connector {connector.id}")
+            raise
diff --git a/deploy/helm/ifrcgo-helm/values.yaml b/deploy/helm/ifrcgo-helm/values.yaml
index af3d3c130..ed40e45c6 100644
--- a/deploy/helm/ifrcgo-helm/values.yaml
+++ b/deploy/helm/ifrcgo-helm/values.yaml
@@ -274,6 +274,13 @@ cronjobs:
     schedule: '0 0 * * 0'
   - command: 'ingest_icrc'
     schedule: '0 3 * * 0'
+  # Schedule time yet to be decided
+  - command: 'poll_gdacs_cy'
+    schedule: '0 0 * * 0'
+  - command: 'poll_gdacs_fl'
+    schedule: '0 0 * * 0'
+  - command: 'poll_usgs_eq'
+    schedule: '0 0 * * 0'
   # - command: 'notify_validators' 
   #   schedule: '0 0 * * *'
   # https://github.com/jazzband/django-oauth-toolkit/blob/master/docs/management_commands.rst#cleartokens
diff --git a/main/sentry.py b/main/sentry.py
index e149e4953..e1ad587c6 100644
--- a/main/sentry.py
+++ b/main/sentry.py
@@ -128,6 +128,9 @@ class SentryMonitor(models.TextChoices):
     INGEST_NS_DOCUMENT = "ingest_ns_document", "0 0 * * 0"
     INGEST_NS_INITIATIVES = "ingest_ns_initiatives", "0 0 * * 0"
     INGEST_ICRC = "ingest_icrc", "0 3 * * 0"
+    POLL_USGS_EQ = "poll_usgs_eq", "0 0 * * 0"
+    POLL_GDACS_FL = "poll_gdacs_fl", "0 0 * * 0"
+    POLL_GDACS_CY = "poll_gdacs_cy", "0 0 * * 0"
     # NOTIFY_VALIDATORS = "notify_validators", "0 0 * * *" # NOTE: Disable local unit email notification for now
     OAUTH_CLEARTOKENS = "oauth_cleartokens", "0 1 * * *"
 
diff --git a/main/settings.py b/main/settings.py
index 6fede598b..4e28f9ed0 100644
--- a/main/settings.py
+++ b/main/settings.py
@@ -240,6 +240,7 @@ def parse_domain(*env_keys: str) -> str:
     "eap",
     "country_plan",
     "local_units",
+    "alert_system",
 ]
 
 INSTALLED_APPS = [
diff --git a/notifications/drf_views.py b/notifications/drf_views.py
index 7b237b90e..f13e9c9b5 100644
--- a/notifications/drf_views.py
+++ b/notifications/drf_views.py
@@ -13,6 +13,7 @@
 from .models import Subscription, SurgeAlert
 from .serializers import (  # UnauthenticatedSurgeAlertSerializer,
     SubscriptionSerializer,
+    SurgeAlertCsvSerializer,
     SurgeAlertSerializer,
 )
 
@@ -80,6 +81,9 @@ class SurgeAlertViewset(viewsets.ReadOnlyModelViewSet):
     )  # for /docs
 
     def get_serializer_class(self):
+        # Use CSV-friendly serializer for CSV format to ensure consistent column count across pages
+        if self.request.query_params.get("format") == "csv":
+            return SurgeAlertCsvSerializer
         # if self.request.user.is_authenticated:
         #     return SurgeAlertSerializer
         # return UnauthenticatedSurgeAlertSerializer
diff --git a/notifications/serializers.py b/notifications/serializers.py
index d8196bd82..a414c341b 100644
--- a/notifications/serializers.py
+++ b/notifications/serializers.py
@@ -46,6 +46,185 @@ class Meta:
         )
 
 
+class SurgeAlertCsvSerializer(ModelSerializer):
+    """CSV-friendly serializer with flattened fields for consistent column count across pages"""
+
+    atype_display = serializers.CharField(source="get_atype_display", read_only=True)
+    molnix_status_display = serializers.CharField(source="get_molnix_status_display", read_only=True)
+    category_display = serializers.CharField(source="get_category_display", read_only=True)
+
+    # Flattened country fields
+    country_id = serializers.IntegerField(source="country.id", read_only=True)
+    country_name = serializers.CharField(source="country.name", read_only=True)
+    country_iso = serializers.CharField(source="country.iso", read_only=True)
+    country_iso3 = serializers.CharField(source="country.iso3", read_only=True)
+    country_society_name = serializers.CharField(source="country.society_name", read_only=True)
+    country_region = serializers.IntegerField(source="country.region.id", read_only=True)
+
+    # Flattened event fields
+    event_id = serializers.IntegerField(source="event.id", read_only=True)
+    event_name = serializers.CharField(source="event.name", read_only=True)
+    event_dtype_id = serializers.IntegerField(source="event.dtype.id", read_only=True)
+    event_dtype_name = serializers.CharField(source="event.dtype.name", read_only=True)
+    event_glide = serializers.CharField(source="event.glide", read_only=True)
+    event_disaster_start_date = serializers.DateTimeField(source="event.disaster_start_date", read_only=True)
+    event_auto_generated = serializers.BooleanField(source="event.auto_generated", read_only=True)
+    event_ifrc_severity_level = serializers.IntegerField(source="event.ifrc_severity_level", read_only=True)
+    event_num_affected = serializers.IntegerField(source="event.num_affected", read_only=True)
+    event_parent_event = serializers.IntegerField(source="event.parent_event.id", read_only=True)
+    event_summary = serializers.SerializerMethodField()
+    event_tab_one_title = serializers.CharField(source="event.tab_one_title", read_only=True)
+    event_tab_two_title = serializers.CharField(source="event.tab_two_title", read_only=True)
+    event_tab_three_title = serializers.CharField(source="event.tab_three_title", read_only=True)
+    event_translation_module_original_language = serializers.CharField(
+        source="event.translation_module_original_language", read_only=True
+    )
+    event_updated_at = serializers.DateTimeField(source="event.updated_at", read_only=True)
+
+    # Comma-separated lists for many-to-many relationships
+    event_countries = serializers.SerializerMethodField()
+    event_appeals = serializers.SerializerMethodField()
+    molnix_tags_names = serializers.SerializerMethodField()
+    molnix_tags_ids = serializers.SerializerMethodField()
+    molnix_tags_types = serializers.SerializerMethodField()
+
+    class Meta:
+        model = SurgeAlert
+        fields = (
+            "id",
+            "molnix_id",
+            "created_at",
+            "operation",
+            "message",
+            "deployment_needed",
+            "is_private",
+            "atype",
+            "atype_display",
+            "category",
+            "category_display",
+            "molnix_status",
+            "molnix_status_display",
+            "opens",
+            "closes",
+            "start",
+            "end",
+            # Country fields (flattened)
+            "country_id",
+            "country_name",
+            "country_iso",
+            "country_iso3",
+            "country_society_name",
+            "country_region",
+            # Event fields (flattened)
+            "event_id",
+            "event_name",
+            "event_dtype_id",
+            "event_dtype_name",
+            "event_glide",
+            "event_disaster_start_date",
+            "event_auto_generated",
+            "event_ifrc_severity_level",
+            "event_num_affected",
+            "event_parent_event",
+            "event_summary",
+            "event_tab_one_title",
+            "event_tab_two_title",
+            "event_tab_three_title",
+            "event_translation_module_original_language",
+            "event_updated_at",
+            "event_countries",
+            "event_appeals",
+            # Molnix tags (comma-separated)
+            "molnix_tags_names",
+            "molnix_tags_ids",
+            "molnix_tags_types",
+        )
+
+    @staticmethod
+    def get_event_summary(obj):
+        """Return HTML-stripped first 300 characters of event summary with empty lines removed"""
+        if obj.event and obj.event.summary:
+            import re
+            from html import unescape
+
+            text = obj.event.summary
+
+            # Remove Microsoft Office table styles and metadata (before HTML stripping)
+            # Match content between /* Style Definitions */ and the closing brace
+            text = re.sub(r"/\*\s*Style Definitions\s*\*/.*?}", "", text, flags=re.DOTALL)
+            # Remove other common MS Office artifacts
+            text = re.sub(r"Normal\s+0\s+\d+\s+false\s+false\s+false\s+[A-Z-]+(?:\s+[A-Z-]+)*", "", text)
+            text = re.sub(r"table\.MsoNormalTable\s*{[^}]*}", "", text, flags=re.DOTALL)
+
+            # Strip HTML tags
+            text = re.sub(r"<[^>]+>", "", text)
+            # Decode HTML entities (&eacute; -> é, etc.)
+            text = unescape(text)
+            # Remove lines that contain only whitespace or are empty
+            lines = [line.strip() for line in text.split("\n") if line.strip()]
+            # Remove lines that only contain "DISASTER OVERVIEW" or "Summary"
+            lines = [line for line in lines if line.strip().upper() != "DISASTER OVERVIEW" and line.strip().upper() != "SUMMARY"]
+            # Join remaining lines with newline
+            text = "\n".join(lines)
+            # Return first 300 characters
+            return text[:300]
+        return ""
+
+    @staticmethod
+    def get_event_countries(obj):
+        """Return structured list of countries with name, fdrs, iso, iso3 (separated by |)"""
+        if obj.event and obj.event.countries.exists():
+            country_data = []
+            for country in obj.event.countries.all():
+                # Format: name;fdrs;iso;iso3
+                parts = [country.name or "", country.fdrs or "", country.iso or "", country.iso3 or ""]
+                country_data.append(";".join(parts))
+            return " | ".join(country_data)
+        return ""
+
+    @staticmethod
+    def get_event_appeals(obj):
+        """Return structured list of appeals with all details (separated by |)
+        in a format code;amount_funded;amount_requested;atype;atype_display;start_date;end_date;
+        num_beneficiaries;sector;status_display
+        """
+        if obj.event:
+            appeals = obj.event.appeals.all()
+            if appeals:
+                appeal_data = []
+                for appeal in appeals:
+                    parts = [
+                        appeal.code or "",
+                        str(appeal.amount_funded) if appeal.amount_funded is not None else "",
+                        str(appeal.amount_requested) if appeal.amount_requested is not None else "",
+                        str(appeal.atype) if appeal.atype is not None else "",
+                        appeal.get_atype_display() if hasattr(appeal, "get_atype_display") else "",
+                        str(appeal.start_date) if appeal.start_date else "",
+                        str(appeal.end_date) if appeal.end_date else "",
+                        str(appeal.num_beneficiaries) if appeal.num_beneficiaries is not None else "",
+                        appeal.sector or "",
+                        appeal.get_status_display() if hasattr(appeal, "get_status_display") else "",
+                    ]
+                    appeal_data.append(";".join(parts))
+                return " | ".join(appeal_data)
+        return ""
+
+    @staticmethod
+    def get_molnix_tags_names(obj):
+        """Return comma-separated list of molnix tag names"""
+        return ", ".join([tag.name for tag in obj.molnix_tags.all()])
+
+    @staticmethod
+    def get_molnix_tags_ids(obj):
+        """Return comma-separated list of molnix tag IDs"""
+        return ", ".join([str(tag.molnix_id) for tag in obj.molnix_tags.all()])
+
+    @staticmethod
+    def get_molnix_tags_types(obj):
+        """Return comma-separated list of molnix tag types"""
+        return ", ".join([tag.tag_type for tag in obj.molnix_tags.all()])
+
+
 # class UnauthenticatedSurgeAlertSerializer(ModelSerializer):
 #     event = MiniEventSerializer()
 #     atype_display = serializers.CharField(source='get_atype_display', read_only=True)
diff --git a/pyproject.toml b/pyproject.toml
index e3d9a8716..c95bad15d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -69,7 +69,7 @@ dependencies = [
     # urllib3=1.26.12",
     "xmltodict==0.11.0",
     "xhtml2pdf==0.2.17",
-    "reportlab",  # XXX: Used by xhtml2pdf reportlab==3.6.7 breaks for now
+    "reportlab", # XXX: Used by xhtml2pdf reportlab==3.6.7 breaks for now
     "celery[redis]==5.1.2",
     "django-redis==5.0.0",
     "sentry-sdk",
@@ -78,11 +78,12 @@ dependencies = [
     "pyjwt",
     "shapely",
     "colorlog",
-    "azure-identity",  # Required by django-storages[azure] if used
+    "azure-identity", # Required by django-storages[azure] if used
     "mapbox-tilesets",
     "ipython",
     "tiktoken",
     "openai",
+    "httpx>=0.28.1",
 ]
 
 [dependency-groups]
diff --git a/uv.lock b/uv.lock
index 1452857fa..bc7124f04 100644
--- a/uv.lock
+++ b/uv.lock
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