diff --git a/scripts/jobs/planning/tascomi_create_daily_snapshot.py b/scripts/jobs/planning/tascomi_create_daily_snapshot.py
index 9fb88fb6f..916a3f746 100644
--- a/scripts/jobs/planning/tascomi_create_daily_snapshot.py
+++ b/scripts/jobs/planning/tascomi_create_daily_snapshot.py
@@ -1,5 +1,6 @@
 import sys
-from datetime import datetime
+from datetime import datetime, timedelta
+from typing import Optional
 
 import pyspark.sql.functions as F
 from awsglue.context import GlueContext
@@ -77,9 +78,18 @@ def apply_increments(snapshot_df, increment_df):
     return snapshot_df
 
 
-def loadIncrementsSinceDate(increment_table_name, name_space, date):
+def loadIncrementsSinceDate(
+    increment_table_name: str, name_space: str, date: Optional[str] = None
+) -> DataFrame:
+    """
+    Loads increments from the specified catalog table starting from a given date.
+    If the provided date is None, it defaults to 30 days ago.
+
+    Returns:
+        DataFrame: A Spark DataFrame containing the loaded increments.
+    """
     if date is None:
-        date = "20210101"  # default date
+        date = (datetime.now() - timedelta(days=30)).strftime("%Y%m%d")  # default date
     increment_ddf = glueContext.create_dynamic_frame.from_catalog(
         name_space=name_space,
         table_name=increment_table_name,
@@ -180,10 +190,11 @@ def loadIncrementsSinceDate(increment_table_name, name_space, date):
                         f"No snapshot and no increment for {increment_table_name}, going to the next table"
                     )
                     continue
+
+                # Load increments from default date
                 increment_df = loadIncrementsSinceDate(
                     increment_table_name=increment_table_name,
                     name_space=source_catalog_database,
-                    date="20210101",
                 )
                 if increment_df.rdd.isEmpty():
                     logger.info(