Worked on backend enhancements for the panther_analysis_tool and panther-analysis repositories, focusing on data integrity and schema management. Addressed a critical reliability issue by making schema name lookups case-insensitive, reducing ingestion errors and improving maintainability. Delivered schema enhancements and introduced YAML-based SQL enrichment, enabling more flexible and validated data handling for analytics teams. Used Python and JSON to implement new schema fields, validation logic, and unit tests, while removing unnecessary types to streamline database design. Collaborated on documentation and code changes, ensuring traceability and maintainability. The work improved data quality, reduced maintenance overhead, and empowered more accurate analytics workflows.