diff --git a/textract-pipeline/src/lambda/prompt-orchestrator/index.py b/textract-pipeline/src/lambda/prompt-orchestrator/index.py
index 2f2698a..8995915 100644
--- a/textract-pipeline/src/lambda/prompt-orchestrator/index.py
+++ b/textract-pipeline/src/lambda/prompt-orchestrator/index.py
@@ -26,7 +26,7 @@ env = os.environ.get('ENVIRONMENT')
 # Get first character from env to get env name abbreviation
 env = env[0]
 # Get the bucket name based on the env that is linked with the storage integration
-snowflake_ingestion_bucket = f'	doczyai-use2-{env}-infra-s3-raw-data-ingestion'
+snowflake_ingestion_bucket = f'doczyai-use2-{env}-infra-s3-raw-data-ingestion'
 
 # Configure logging
 logger = logging.getLogger()
@@ -423,6 +423,10 @@ def main(bucket, object_key, field_groups):
         # df['Revised Prompt'] = [question] * len(contract_list_f)
         # Need to add batch_id to the df
         df['Batch_id'] = batch_id
+
+        # Remove column confidence level and revised prompt from df
+        df = df.drop(columns=['Confidence Level'])
+        df = df.drop(columns=['Revised Prompt'])
         
         # TODO: uncomment accuracy function after testing
         # df, history = compare_with_actuals(df)