During November 2025, Andrey Kokorin focused on improving data reliability in the elementary-data/dbt-data-reliability repository by addressing a critical issue in model relation column detection. He implemented explicit exception handling in SQL to raise clear errors when no columns are detected, replacing silent failures with actionable feedback. This approach enhanced error visibility and observability, allowing data engineering teams to identify and resolve pipeline issues more efficiently. By prioritizing robust error handling and operational quality, Andrey’s work reduced debugging time and protected downstream data processes. His contributions demonstrated depth in SQL and data engineering, emphasizing reliability and maintainability in production data workflows.