Worked on the cube-js/cube repository to enhance the reliability of ClickHouse-backed analytics by addressing a critical data mapping issue. Focused on backend development and database query optimization, the work involved fixing ambiguous dimension column mapping in ClickHouse queries through explicit aliasing in the top-level SELECT statement. This approach ensured accurate dimension mapping and more dependable result processing. To safeguard against regressions, an integration test suite for complex ClickHouse joins was added, strengthening overall test coverage. Utilizing JavaScript, TypeScript, and SQL, the developer improved code quality and stability, reducing the risk of incorrect analytics results without introducing new user-facing features.