Developed a SQL query parser for the NVIDIA/nv-ingest repository, enabling automated extraction of tables and columns from SQL queries to support database schema visualization, data lineage, and governance workflows. The parser was implemented in Python and integrated with existing data analysis and graph database tools, focusing on robust SQL parsing and maintainable code structure. Work was delivered through a collaborative pull request, emphasizing code quality and effective teamwork. This feature accelerated schema analysis and improved dataset onboarding processes, though no major bugs were addressed during the period. The contribution demonstrated depth in SQL, Python development, and collaborative engineering practices.