edanalytics/edu_wh
Feb 2025 – Sep 2025
2 Months active
Languages Used
SQL
Technical Skills
Data WarehousingETLSQL DevelopmentData Modeling
Ryan Aguilar
PROFILE
Ryan Aguilar
Ryan Aguilar focused on enhancing data quality and reliability in the edanalytics/edu_wh repository over a two-month period, addressing complex issues in attendance data processing. He improved the attendance pipeline by implementing SQL-based solutions that accurately attribute attendance events for students with multiple enrollments and calendars, using enrollment date range joins and deduplication techniques. Additionally, Ryan corrected historical attendance calculations by updating the fct_student_daily_attendance aggregation to group by school and year, ensuring accurate end-of-year reporting. His work in data modeling, data warehousing, and ETL contributed to more reliable analytics, reducing data integrity risks and support overhead for downstream users.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
2
Commits
2
Features
0
Lines of code
134
Activity Months2
Your Network
7 people
Work History
September 2025
1 Commits
Sep 1, 2025September 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.
1 Commits
Sep 1, 2025September 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
February 2025
1 Commits
Feb 1, 2025February 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
1 Commits
Feb 1, 2025February 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)).
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQL
Technical Skills
Data ModelingData WarehousingETLSQL Development
Repositories Contributed To
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