diff --git a/data_replication_parametrized_audit_os.py b/data_replication_parametrized_audit_os.py
index e1a6b8d..ae22c45 100644
--- a/data_replication_parametrized_audit_os.py
+++ b/data_replication_parametrized_audit_os.py
@@ -114,6 +114,8 @@ def extract_from_oracle(table_name,source_schema,customsql_ind,customsql_query):
     oracle_connection = OrcPool.acquire()
     oracle_cursor = oracle_connection.cursor()    
     try:
+     current_time = datetime.datetime.now()
+     print("Replication Start:", current_time)
         if customsql_ind == "Y":
             # Use placeholders in the query and bind the table name as a parameter
             sql_query=customsql_query
@@ -148,6 +150,9 @@ def load_into_postgres(table_name, data,target_schema):
         insert_query = f'INSERT INTO {target_schema}.{table_name} VALUES ({", ".join(["%s"] * len(data[0]))})'
         #insert_query = f'INSERT INTO {target_schema}.{table_name} VALUES %s'
 
+        current_time = datetime.datetime.now()
+        print("Replication End:", current_time)
+
         # Use execute_batch for efficient batch insert
         with postgres_connection.cursor() as cursor:
             # Prepare the data as a list of tuples
@@ -185,7 +190,7 @@ def load_data_from_src_tgt(table_name,source_schema,target_schema,customsql_ind,
     # Main ETL process
     active_tables_rows =get_active_tables(mstr_schema,app_name) 
     print(active_tables_rows)
-    tables_to_extract = [(row[2],row[1],row[3],row[9],row[10]) for row in active_tables_rows]
+    tables_to_extract = [(row[2],row[1],row[3],row[8],row[9]) for row in active_tables_rows]
     
     print(f"tables to extract are {tables_to_extract}")
     print(f'No of concurrent tasks:{concurrent_tasks}')