Worked on the elementary-data/dbt-data-reliability repository to improve operational quality and data pipeline reliability. Addressed a critical issue in model relation column detection by implementing explicit exception handling in SQL, ensuring that failures to detect columns now raise clear errors rather than failing silently. This approach enhanced error visibility and made debugging more efficient for data engineering teams. Focused on robust error handling and observability, the work directly protected downstream pipelines from undetected schema issues. Leveraged SQL and data engineering skills to deliver targeted improvements, contributing to more stable and maintainable data workflows without introducing new features during the period.