During December 2024, Mike focused on improving the reliability and efficiency of data workflows in the profcomff/dwh-pipelines repository. He addressed operational noise by adjusting the DM_MONITORING.db_monitoring_snp Airflow DAG schedule from hourly to daily, ensuring monitoring tasks aligned with actual user activity and business hours. Using Python and leveraging his data engineering expertise, Mike implemented and verified these scheduling changes, which reduced unnecessary monitoring runs and improved cost efficiency. The work enhanced the maintainability and predictability of the pipeline, demonstrating a thoughtful approach to operational tuning rather than feature development, with depth in targeted, infrastructure-level improvements.