
Over four months, contributed to the edanalytics/edu_wh repository by designing and implementing robust data models and improving data quality in educational analytics pipelines. Delivered new dimensional models for candidate tracking and certification exams, using SQL, YAML, and dbt to enable analytics-ready reporting and scalable governance. Addressed complex data warehousing challenges by refining ETL processes, such as deduplicating multi-calendar attendance records and correcting historical attendance calculations. Enhanced documentation and configuration management to support safe rollouts and maintain data integrity. The work established a strong foundation for accurate reporting, dashboarding, and downstream analytics, demonstrating depth in data modeling and database design.
In April 2026, delivered a new Certification Exam Data Model in edanalytics/edu_wh, enabling analytics-ready tracking of exam results and related details. Implemented a dimensional design with a new dim_certification_exam and fct_certification_exam, wired through repository-level YAML definitions, and updated the changelog. Added a namespace column to the models and YAML, and introduced result YAML capturing score and status descriptors to support KPI reporting and certification program analysis. This work provides the foundation for KPI tracking such as pass rates, score distributions, and program-level insights.
In April 2026, delivered a new Certification Exam Data Model in edanalytics/edu_wh, enabling analytics-ready tracking of exam results and related details. Implemented a dimensional design with a new dim_certification_exam and fct_certification_exam, wired through repository-level YAML definitions, and updated the changelog. Added a namespace column to the models and YAML, and introduced result YAML capturing score and status descriptors to support KPI reporting and certification program analysis. This work provides the foundation for KPI tracking such as pass rates, score distributions, and program-level insights.
December 2025: Data modeling and governance enhancements focused on edanalytics/edu_wh to enable robust candidate data management and clearer educator preparation program tracking. Delivered a new candidate-centric data model and EPDM-related structures, with guarded rollout via safe defaults and refreshed documentation. This work establishes a scalable foundation for reporting, analytics, and downstream data quality improvements, while maintaining safe configuration to minimize risk during rollout.
December 2025: Data modeling and governance enhancements focused on edanalytics/edu_wh to enable robust candidate data management and clearer educator preparation program tracking. Delivered a new candidate-centric data model and EPDM-related structures, with guarded rollout via safe defaults and refreshed documentation. This work establishes a scalable foundation for reporting, analytics, and downstream data quality improvements, while maintaining safe configuration to minimize risk during rollout.
September 2025 monthly summary focused on data accuracy improvements in edanalytics/edu_wh. Implemented a critical fix to the fct_student_daily_attendance aggregation to correct attendance calculations for prior school years. The aggregation now groups by school and year and properly accounts for days at the end of the year in historical data. The change includes added inline comments and a changelog entry reflecting the fix. This work enhances data reliability for historical reporting, dashboards, and district analytics, reducing data integrity risk and support load.
September 2025 monthly summary focused on data accuracy improvements in edanalytics/edu_wh. Implemented a critical fix to the fct_student_daily_attendance aggregation to correct attendance calculations for prior school years. The aggregation now groups by school and year and properly accounts for days at the end of the year in historical data. The change includes added inline comments and a changelog entry reflecting the fix. This work enhances data reliability for historical reporting, dashboards, and district analytics, reducing data integrity risk and support load.
February 2025 monthly summary for edanalytics/edu_wh: Primary focus on data quality improvements in the attendance pipeline. Implemented a fix for attendance data accuracy when students have multiple enrollments and calendars at the same school by joining on enrollment date ranges and deduplicating overlapping records. This improves reliability of attendance analytics and reduces misattribution. Commit: 8b51f860fd0793c6b99debaf0aab14dc5dcd1e20 (Fix/att event multi calendars (#158)).
February 2025 monthly summary for edanalytics/edu_wh: Primary focus on data quality improvements in the attendance pipeline. Implemented a fix for attendance data accuracy when students have multiple enrollments and calendars at the same school by joining on enrollment date ranges and deduplicating overlapping records. This improves reliability of attendance analytics and reduces misattribution. Commit: 8b51f860fd0793c6b99debaf0aab14dc5dcd1e20 (Fix/att event multi calendars (#158)).

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