Worked on the potiuk/airflow repository to enhance the database cleanup workflow by introducing DAG-based include and exclude options to the db_clean command. This feature allows users to precisely target which DAGs to delete or preserve, improving control over database maintenance. The implementation involved backend development in Python, command line interface enhancements, and careful database management, including updates to dag_id and dag_version logic to ensure important DAGs remain intact. Additional work addressed deprecated SQLAlchemy usage for compatibility, improved safety checks around deletion, and included new tests and documentation updates to support reliability and clarity throughout the cleanup process.