During November 2024, Daniel Katzenelson focused on improving SQL validation reliability in the panther_analysis_tool repository. He addressed a bug in table name validation by refactoring the CTE alias extraction logic, introducing a dedicated get_aliases helper to accurately identify CTE aliases within parsed SQL queries. This Python-based solution leveraged his skills in code refactoring, SQL parsing, and unit testing to reduce false positives and enhance the maintainability of the validation process. By modularizing alias extraction, Daniel’s work improved data quality and trust in automated SQL checks, strengthening the foundation for downstream analytics pipelines and enabling easier future enhancements.