Hi @Akshay_Petkar, By defining the schema explicitly, you can control how Spark interprets the columns. If you know which columns are causing conflicts, you can rename them during the read operation. Use selectExpr
to Rename Columns. If the duplicate columns are not needed, you can drop them. Sometimes, conflicts arise from nested JSON structures. Ensure that nested fields are properly handled.