Over a two-month period, Michael Berrien enhanced data modeling and reliability for educational analytics in the edanalytics/edu_edfi_source and edanalytics/edu_wh repositories. He developed new base and staging models for School Food Service and Migrant Education Programs, introducing YAML-driven feature toggles to enable safer, staged rollouts. Using SQL and dbt, Michael improved test integrity by refining primary key definitions and aligning test macros, directly addressing data quality and validation issues. His work included correcting column ordering and adding missing identifiers in survey data processing, resulting in more robust pipelines and trustworthy reporting. The contributions reflect strong data engineering and governance practices.