Juarez Ramos contributed to the Apache Airflow and potiuk/airflow repositories, focusing on data engineering and scheduler management using Python. He enhanced the Airflow scheduler by developing a --only-idle CLI flag, allowing the system to count runs only when idle, which improved task processing efficiency and resource utilization. Juarez implemented comprehensive tests and updated documentation to ensure reliability and maintainability. In potiuk/airflow, he addressed a data export issue by correcting the mapping of MSSQL BIT fields to Parquet boolean types, preventing runtime errors and improving downstream data quality. His work demonstrated careful attention to testing and robust ETL pipeline development.