Worked on the tobymao/sqlglot repository to enhance SQL generation by delivering robust CLUSTER BY parsing and generation across multiple SQL dialects. Focused on aligning the implementation with SQL standards, the work involved refining syntax handling, correcting parentheses usage, and resolving inconsistencies between CREATE and ALTER CLUSTER BY statements. Utilized Python and SQL to adjust the transpilation pipeline, ensuring that unsupported ordering was not introduced and that dialect-specific generation remained accurate. Strengthened the automated test suite to improve reliability and reduce maintenance overhead, ultimately supporting users migrating analytics workloads between platforms such as Snowflake and Hive with greater confidence.