diff --git a/dags/veda_data_pipeline/utils/disasters_utils.py b/dags/veda_data_pipeline/utils/disasters_utils.py
new file mode 100644
index 00000000..93c5ed62
--- /dev/null
+++ b/dags/veda_data_pipeline/utils/disasters_utils.py
@@ -0,0 +1,135 @@
+import re
+import json
+import boto3
+from functools import lru_cache
+from typing import Dict, List
+
+
+def _load_from_s3(s3_key: str) -> dict:
+    """Load JSON data from S3 using Airflow variables."""
+    from airflow.models.variable import Variable
+    bucket = Variable.get("aws_dags_variables", deserialize_json=True).get("EVENT_BUCKET")
+    client = boto3.client("s3")
+    result = client.get_object(Bucket=bucket, Key=s3_key)
+    return json.loads(result["Body"].read().decode())
+
+
+@lru_cache(maxsize=1)
+def _get_country_codes_mapping() -> Dict[str, List[str]]:
+    """Load and cache country codes mapping from S3."""
+    data = _load_from_s3("disasters-monty/monty_country_codes.json")
+    return {entry["name"].lower(): entry["code"] for entry in data["country_codes"]}
+
+
+@lru_cache(maxsize=1)
+def _get_hazard_codes_mapping() -> Dict[str, Dict[str, str]]:
+    """Load and cache hazard codes mapping from S3."""
+    data = _load_from_s3("disasters-monty/monty_hazard_codes.json")
+    codes = data["classification_systems"]["undrr_isc_2025"]["codes"]
+    return {
+        entry["event_name"].lower(): {
+            "glide_code": entry["glide_code"],
+            "classification_code": entry["classification_code"]
+        }
+        for entry in codes
+    }
+
+
+def _parse_filename(filename: str) -> dict:
+    """Parse filename pattern YYYYMM_<hazard>_<location> and return components."""
+    match = re.match(r"^(\d{6})_([^_]+)_([^_]+)", filename)
+    if not match:
+        return {}
+    return {
+        "year_month": match.group(1),
+        "hazard_type": match.group(2).lower(),
+        "location": match.group(3).lower(),
+        "full_event_name": f"{match.group(1)}_{match.group(2)}_{match.group(3)}"
+    }
+
+
+def extract_event_name_from_filename(filename: str) -> dict:
+    """Extract event name in format YYYYMM_<hazard>_<location>."""
+    parsed = _parse_filename(filename)
+    return {"event:name": parsed["full_event_name"]} if parsed else {}
+
+
+def extract_country_codes_from_filename(filename: str) -> dict:
+    """Extract ISO 3166-1 alpha-3 country codes from location."""
+    parsed = _parse_filename(filename)
+    if not parsed:
+        return {}
+    codes = _get_country_codes_mapping().get(parsed["location"])
+    return {"monty:country_codes": codes} if codes else {}
+
+
+def extract_hazard_codes_from_filename(filename: str) -> dict:
+    """Extract GLIDE and UNDRR-ISC hazard classification codes."""
+    parsed = _parse_filename(filename)
+    if not parsed:
+        return {}
+    hazard = _get_hazard_codes_mapping().get(parsed["hazard_type"])
+    return {"monty:hazard_codes": [hazard["glide_code"], hazard["classification_code"]]} if hazard else {}
+
+
+def extract_datetime_from_filename(filename: str) -> str:
+    """Extract datetime in formats: YYYY-MM-DD, YYYYMMDD, YYYY-MM-DDTHH:MM:SSZ, YYYYMMDDTHHMMSSZ."""
+    patterns = [
+        (r"(\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}Z)", lambda m: m.replace("-", "").replace(":", "")),
+        (r"(\d{8}T\d{6}[Zz])", lambda m: m.upper()),
+        (r"(\d{4}-\d{2}-\d{2})", lambda m: m.replace("-", "")),
+        (r"(\d{8})", lambda m: m),
+    ]
+    for pattern, formatter in patterns:
+        if match := re.search(pattern, filename):
+            return formatter(match.group(1))
+    return ""
+
+
+def extract_corr_id_from_filename(filename: str) -> dict:
+    """Extract correlation ID in format: {datetime}-{ISO3}-{GLIDE_CODE}-1-GCDB."""
+    parsed = _parse_filename(filename)
+    if not parsed:
+        return {}
+    datetime_str = extract_datetime_from_filename(filename)
+    if not datetime_str:
+        return {}
+    location = parsed["location"]
+    country_mapping = _get_country_codes_mapping()
+    if location not in country_mapping:
+        return {}
+    hazard_type = parsed["hazard_type"]
+    hazard_mapping = _get_hazard_codes_mapping()
+    if hazard_type not in hazard_mapping:
+        return {}
+    country_code = country_mapping[location][0]
+    glide_code = hazard_mapping[hazard_type]["glide_code"]
+    return {"monty:corr_id": f"{datetime_str}-{country_code}-{glide_code}-1-GCDB"}
+
+
+def extract_all_metadata_from_filename(filename: str) -> dict:
+    """Extract all metadata fields: event:name, monty:country_codes, monty:hazard_codes, monty:corr_id."""
+    parsed = _parse_filename(filename)
+    if not parsed:
+        return {}
+    datetime_str = extract_datetime_from_filename(filename)
+    if not datetime_str:
+        return {}
+    location = parsed["location"]
+    country_mapping = _get_country_codes_mapping()
+    if location not in country_mapping:
+        return {}
+    hazard_type = parsed["hazard_type"]
+    hazard_mapping = _get_hazard_codes_mapping()
+    if hazard_type not in hazard_mapping:
+        return {}
+    country_codes = country_mapping[location]
+    hazard_info = hazard_mapping[hazard_type]
+    hazard_codes = [hazard_info["glide_code"], hazard_info["classification_code"]]
+    corr_id = f"{datetime_str}-{country_codes[0]}-{hazard_info['glide_code']}-1-GCDB"
+    return {
+        "event:name": parsed["full_event_name"],
+        "monty:country_codes": country_codes,
+        "monty:hazard_codes": hazard_codes,
+        "monty:corr_id": corr_id
+    }
diff --git a/dags/veda_data_pipeline/utils/s3_discovery.py b/dags/veda_data_pipeline/utils/s3_discovery.py
index 1bec94a2..72349e8e 100644
--- a/dags/veda_data_pipeline/utils/s3_discovery.py
+++ b/dags/veda_data_pipeline/utils/s3_discovery.py
@@ -11,6 +11,8 @@
 import boto3
 from smart_open import open as smrt_open
 
+from .disasters_utils import extract_event_name_from_filename, extract_all_metadata_from_filename
+
 
 # Adding a custom exception for empty list
 class EmptyFileListError(Exception):
@@ -75,8 +77,12 @@ def discover_from_s3(
                 yield s3_object
 
 
-def group_by_item(discovered_files: List[str], id_regex: str, assets: dict) -> dict:
-    """Group assets by matching regex patterns against discovered files."""
+def group_by_item(discovered_files: List[str], id_regex: str, assets: dict, extract_event_name: bool = False, extract_monty: bool = False) -> dict:
+    """Group assets by matching regex patterns against discovered files.
+
+    If extract_event_name is True, extracts event name from filenames and adds to item metadata.
+    If extract_monty is True, extracts all monty metadata (country codes, hazard codes, corr_id) from filenames and adds to item metadata.
+    """
     grouped_files = []
     for uri in discovered_files:
         # Each file gets its matched asset type and id
@@ -112,6 +118,7 @@ def group_by_item(discovered_files: List[str], id_regex: str, assets: dict) -> d
     # Produce a dictionary in which each record is keyed by an item ID and contains a list of associated asset hrefs
     for group in grouped_data:
         item = {"item_id": group["item_id"], "assets": {}}
+
         for file in group["data"]:
             asset_type = file["asset_type"]
             filename = file["filename"]
@@ -119,6 +126,18 @@ def group_by_item(discovered_files: List[str], id_regex: str, assets: dict) -> d
             updated_asset = assets[file["asset_type"]].copy()
             updated_asset["href"] = f"{file['prefix']}/{file['filename']}"
             item["assets"][asset_type] = updated_asset
+
+        # Extract metadata from first file if flags are enabled
+        if group["data"]:
+            first_filename = group["data"][0]["filename"]
+
+            if extract_monty:
+                # Extract all metadata (country codes, hazard codes, corr_id, and event name)
+                item["extracted_event_name"] = extract_all_metadata_from_filename(first_filename)
+            elif extract_event_name:
+                # Extract only event name
+                item["extracted_event_name"] = extract_event_name_from_filename(first_filename)
+
         items_with_assets.append(item)
     return items_with_assets
 
@@ -200,6 +219,8 @@ def s3_discovery_handler(event, chunk_size=2800, role_arn=None, bucket_output=No
     id_template = event.get("id_template", "{}")
     date_fields = propagate_forward_datetime_args(event)
     dry_run = event.get("dry_run", False)
+    extract_event_name = event.get("disasters:extract_event_name", False)
+    extract_monty = event.get("disasters:monty", False)
     if process_from := event.get("process_from_yyyy_mm_dd"):
         process_from = datetime.strptime(process_from, "%Y-%m-%d").replace(
             tzinfo=tzlocal()
@@ -235,7 +256,13 @@ def s3_discovery_handler(event, chunk_size=2800, role_arn=None, bucket_output=No
 
     # group only if more than 1 assets
     if assets and len(assets.keys()) > 1:
-        items_with_assets = group_by_item(file_uris, id_regex, assets)
+        items_with_assets = group_by_item(
+            file_uris,
+            id_regex,
+            assets,
+            extract_event_name=extract_event_name,
+            extract_monty=extract_monty
+        )
     else:
         # out of convenience, we might not always want to explicitly define assets
         # or if only a single asset is defined, follow default flow
@@ -261,11 +288,12 @@ def s3_discovery_handler(event, chunk_size=2800, role_arn=None, bucket_output=No
                     item_count >= slice[1]
             ):  # Stop once we reach the end of the slice, while saving progress
                 break
+
         file_obj = {
             "collection": collection,
             "item_id": item["item_id"],
             "assets": item["assets"],
-            "properties": properties,
+            "properties": {**properties, **item.get("extracted_event_name", {})},
             **date_fields,
         }