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Markisha Berrien-Fitzsimons

PROFILE

Markisha Berrien-fitzsimons

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.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
832
Activity Months2

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

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.

June 2025

1 Commits • 1 Features

Jun 1, 2025

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.

Activity

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Quality Metrics

Correctness85.0%
Maintainability85.0%
Architecture85.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JinjaSQLYAML

Technical Skills

Data ModelingData WarehousingETLSQLdbt

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

edanalytics/edu_edfi_source

Jun 2025 Jun 2025
1 Month active

Languages Used

SQLYAML

Technical Skills

Data ModelingData WarehousingETLSQL

edanalytics/edu_wh

Sep 2025 Sep 2025
1 Month active

Languages Used

JinjaSQL

Technical Skills

Data WarehousingETLSQLdbt

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