edanalytics/edu_wh
Jan 2025 – Apr 2025
2 Months active
Languages Used
SQL
Technical Skills
Data ModelingData WarehousingJinja TemplatingSQLSQL Development
smckee-tnedu
PROFILE
Smckee-tnedu
Worked on the edanalytics/edu_wh repository to deliver dynamic integration of external and custom data sources into dimensional models, focusing on dim_staff, dim_calendar_date, and dim_school. Leveraged SQL, data modeling, and Jinja templating to enable configuration-driven joins and dynamic column additions, allowing new indicators and attributes to be incorporated with minimal code changes. This approach reduced manual data wrangling and improved analytics readiness by supporting flexible, scalable data warehousing. The solutions allowed data engineers to extend schema functionality without modifying core code, streamlining the inclusion of new data sources and supporting richer, more adaptable reporting across educational analytics workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
57
Activity Months2
Your Network
8 peopleShared Repositories
8
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025, edanalytics/edu_wh: Key feature delivered - Dynamic Custom Data Sources in Dim School SQL. Enhanced dim_school.sql to load custom data sources from a variable and dynamically join them, enabling extended school data attributes and greater data flexibility. This capability improves analytics readiness by allowing data engineers to incorporate new sources without code changes, supporting richer reporting and faster time-to-insight. Commit reference tracked: a77f0a010579b7763dbe885039a4fd8625b9e0ce (related to issue #165).
1 Commits • 1 Features
Apr 1, 2025April 2025, edanalytics/edu_wh: Key feature delivered - Dynamic Custom Data Sources in Dim School SQL. Enhanced dim_school.sql to load custom data sources from a variable and dynamically join them, enabling extended school data attributes and greater data flexibility. This capability improves analytics readiness by allowing data engineers to incorporate new sources without code changes, supporting richer reporting and faster time-to-insight. Commit reference tracked: a77f0a010579b7763dbe885039a4fd8625b9e0ce (related to issue #165).
April 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 — Delivered External Data Source Integration for dimensional models in edanalytics/edu_wh, enabling loading and integrating external/custom data sources into dim_staff and dim_calendar_date. The solution uses templating to dynamically add columns and a configuration-driven approach to join custom sources, enabling inclusion of new indicators with minimal code changes. This enhances analytics readiness, reduces manual data wrangling, and strengthens the scalability of the dimensional model.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 — Delivered External Data Source Integration for dimensional models in edanalytics/edu_wh, enabling loading and integrating external/custom data sources into dim_staff and dim_calendar_date. The solution uses templating to dynamically add columns and a configuration-driven approach to join custom sources, enabling inclusion of new indicators with minimal code changes. This enhances analytics readiness, reduces manual data wrangling, and strengthens the scalability of the dimensional model.
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQL
Technical Skills
Data ModelingData WarehousingJinja TemplatingSQLSQL Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline