
Markisha Brown developed robust data models and warehousing solutions to enhance student program analytics across two repositories, edanalytics/edu_edfi_source and edanalytics/edu_wh. She designed and implemented new data models for tracking student CTE program participation, including base and staged versions, using SQL, dbt, and Jinja. Her work included flattening program service associations to improve data fidelity and support downstream reporting. In edu_wh, she expanded student program data by adding fact tables for CTE, Migrant Education, and Food Service, integrating them with existing student dimensions. Her approach emphasized maintainable, scalable data patterns and consistent documentation, supporting cross-program analytics and compliance.

For 2025-09 in edanalytics/edu_wh, delivered the Student Program Data Expansion by adding new fact tables for CTE, Migrant Education, and Food Service, integrated with the dim_student dimension, enabling enhanced enrollment analytics and program participation reporting. Refined data handling for program services and updated data models to support cross-program analytics; all work completed with a focus on maintainability and scalable data patterns. No critical bugs reported this month.
For 2025-09 in edanalytics/edu_wh, delivered the Student Program Data Expansion by adding new fact tables for CTE, Migrant Education, and Food Service, integrated with the dim_student dimension, enabling enhanced enrollment analytics and program participation reporting. Refined data handling for program services and updated data models to support cross-program analytics; all work completed with a focus on maintainability and scalable data patterns. No critical bugs reported this month.
Month: 2025-06 — Delivered key data-model enhancements for the edu_edfi_source repository to strengthen tracking of student CTE program participation. Implemented new data models for StudentCTEProgramAssociation, including base and staged versions, and added a staging model to flatten program services associated with CTE programs. These changes improve data fidelity, enable precise analytics, and support downstream reporting and compliance workflows. The work aligns with the roadmap for granular CTE analytics and cross-repo data integration.
Month: 2025-06 — Delivered key data-model enhancements for the edu_edfi_source repository to strengthen tracking of student CTE program participation. Implemented new data models for StudentCTEProgramAssociation, including base and staged versions, and added a staging model to flatten program services associated with CTE programs. These changes improve data fidelity, enable precise analytics, and support downstream reporting and compliance workflows. The work aligns with the roadmap for granular CTE analytics and cross-repo data integration.
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