Worked on the mozilla/bigquery-etl repository to enhance user research data governance by delivering governance-ready dataset metadata and implementing a new Alchemer survey data ingestion pipeline. Developed BigQuery metadata files and Airflow DAGs to support migration from Alchemy to Alchemer, ensuring accurate dataset descriptions, names, and access controls for both desktop and mobile viewpoints. Focused on improving data lineage, discoverability, and access management, with minor quality improvements to metadata generation scripts. Utilized Python and YAML for ETL workflows and access control management, resulting in more reliable analytics and stronger data governance for user research datasets without addressing critical bugs.