Worked on improving the data generation workflow in the cfpb/Metro2 repository by focusing on code quality and production stability. Addressed a bug by removing a debug statement and its associated exception handling, specifically eliminating the use of pdb.set_trace to prevent runtime interruptions during data generation. Simplified the set_field_value logic by removing an unnecessary try-except block, which reduced code complexity and potential failure points. Utilized Python for code refactoring and debugging, ensuring the workflow is more maintainable and production-ready. The changes enhanced reliability in critical data generation paths, supporting smoother deployment and reducing operational risk in production environments.