Oana Ekwe developed two key features for the mozilla/bigquery-etl repository, focusing on data governance and ingestion pipelines for user research datasets. She designed and implemented governance-ready metadata for the fx_quant_user_research datasets, establishing clear dataset names, descriptions, and access controls to enhance data lineage and discoverability. Additionally, Oana built a new Airflow DAG to automate ingestion of Alchemer survey data into BigQuery, updating metadata and access permissions to reflect the migration from Alchemy. Her work leveraged Python, Airflow, and BigQuery, demonstrating depth in data engineering and warehousing while improving the reliability and organization of analytics infrastructure.