During October 2025, this developer built a new staging model for the edanalytics/edu_edfi_source repository to capture and normalize student academic honors data. The work focused on flattening complex nested JSON structures, extracting honor details and descriptors to streamline downstream analytics and ensure consistent data quality. Leveraging data engineering and ETL skills with SQL, the developer enabled more reliable analytics and faster reporting for academic honors. The update included maintaining project documentation by updating the CHANGELOG.md, supporting traceability and governance. This contribution addressed a specific data integration need, demonstrating depth in data modeling and transformation within an educational analytics context.