diff --git a/scripts/jobs/env_enforcement/noisework_complaints_refined.py b/scripts/jobs/env_enforcement/noisework_complaints_refined.py
index 8f5f6b87a..e91f47068 100644
--- a/scripts/jobs/env_enforcement/noisework_complaints_refined.py
+++ b/scripts/jobs/env_enforcement/noisework_complaints_refined.py
@@ -14,24 +14,10 @@
 from scripts.helpers.coordinates import convert_bng_to_latlon
 
 
-def drop_null_columns(dataframe):
-    _df_length = dataframe.count()
-    null_counts = dataframe.select([f.count(f.when(f.col(c).isNull(), c)).alias(c) for c in dataframe.columns]).collect()[0].asDict()
-    to_drop = [k for k, v in null_counts.items() if v >= _df_length]
-    dataframe = dataframe.drop(*to_drop)
-    return dataframe
-
-
-def get_latest_snapshot(dataframe):
-    """Creates a function that returns only the latest snapshot, not needed if pushdown_predicate is used but it"""
-    dataframe = dataframe.where(f.col('import_date') == dataframe.select(max('import_date')).first()[0])
-    return dataframe
-
-
 if __name__ == "__main__":
     # read job parameters
     args = getResolvedOptions(sys.argv, ['JOB_NAME'])
-    source_catalog_table = get_glue_env_var('source_catalog_table', '')
+    source_catalog_table1 = get_glue_env_var('source_catalog_table1', '')
     source_catalog_table2 = get_glue_env_var('source_catalog_table2', '')
     source_catalog_database = get_glue_env_var('source_catalog_database', '')
     s3_bucket_target = get_glue_env_var('s3_bucket_target', '')
@@ -42,13 +28,13 @@ def get_latest_snapshot(dataframe):
     logger = glueContext.get_logger()
     job = Job(glueContext)
     job.init(args['JOB_NAME'], args)
-    logger.info(f'The job is starting. The source tables are {source_catalog_database}.{source_catalog_table},'
+    logger.info(f'The job is starting. The source tables are {source_catalog_database}.{source_catalog_table1},'
                 f' {source_catalog_database}.{source_catalog_table2}')
 
     # Load data from glue catalog
-    data_source = glueContext.create_dynamic_frame.from_catalog(
+    data_source1 = glueContext.create_dynamic_frame.from_catalog(
         name_space=source_catalog_database,
-        table_name=source_catalog_table,
+        table_name=source_catalog_table1,
         push_down_predicate="import_date=date_format(current_date, 'yyyyMMdd')"
     )
     data_source2 = glueContext.create_dynamic_frame.from_catalog(
@@ -58,11 +44,14 @@ def get_latest_snapshot(dataframe):
     )
 
     # convert dynamic frame to data frame
-    df = data_source.toDF()
+    logger.info(f'Cases table schema before conversion.{data_source1.printSchema()}')
+    logger.info(f'Complaints table schema before conversion.{data_source2.printSchema()}')
+    
+    df1 = data_source1.toDF()
     df2 = data_source2.toDF()
 
     # filter out the blanks
-    df = df.filter(df.id != "")
+    df1 = df1.filter(df1.id != "")
     df2 = df2.filter(df2.case_id != "")
 
     # remove the partition dates from complaints
@@ -71,17 +60,17 @@ def get_latest_snapshot(dataframe):
     df2 = df2.withColumnRenamed("id", "complaint_id")
 
     # Create date and time columns
-    df = df.withColumn('case_created_date', f.date_format("created", "MM/dd/yyyy"))
-    df = df.withColumn('case_created_time', f.date_format("created", "HH:mm"))
+    df1 = df1.withColumn('case_created_date', f.date_format("created", "MM/dd/yyyy"))
+    df1 = df1.withColumn('case_created_time', f.date_format("created", "HH:mm"))
     df2 = df2.withColumn('complaint_created_date', f.date_format("created", "MM/dd/yyyy"))
     df2 = df2.withColumn('complaint_created_time', f.date_format("created", "HH:mm"))
 
     # rename the created fields
-    df = df.withColumnRenamed("created", "case_created_datetime")
+    df1 = df1.withColumnRenamed("created", "case_created_datetime")
     df2 = df2.withColumnRenamed("created", "complaint_created_datetime")
 
     # join the tables
-    output = df.join(df2, df.id == df2.case_id, "left")
+    output = df1.join(df2, df1.id == df2.case_id, "left")
     output = output.drop("id")
 
     # convert to int so suitable for geo df
diff --git a/terraform/etl/35-aws-glue-env-enforcement.tf b/terraform/etl/35-aws-glue-env-enforcement.tf
index 924405e78..7d36d76b2 100644
--- a/terraform/etl/35-aws-glue-env-enforcement.tf
+++ b/terraform/etl/35-aws-glue-env-enforcement.tf
@@ -51,7 +51,7 @@ module "noisework_complaints_to_refined" {
     "--s3_bucket_target2"       = "s3://${module.refined_zone_data_source.bucket_id}/env-enforcement/noisework_complaints_to_geocode"
     "--enable-glue-datacatalog" = "true"
     "--source_catalog_database" = module.department_env_enforcement_data_source.raw_zone_catalog_database_name
-    "--source_catalog_table"    = "noiseworks_case"
+    "--source_catalog_table1"   = "noiseworks_case"
     "--source_catalog_table2"   = "noiseworks_complaint"
 
   }