CityofToronto/bdit_data-sources
Sep 2025 – Jun 2026
4 Months active
Languages Used
JSONMarkdownSQL
Technical Skills
SQL scriptingdata analysisdata managementdata manipulationdata validationdatabase management
Wael Halabi
PROFILE
Wael Halabi
Worked on the CityofToronto/bdit_data-sources repository, delivering features and fixes to improve the quality and maintainability of urban traffic and intersection data. Used SQL and PostGIS to update intersection tables, correct traffic flow geometries, and streamline data classification for EcoCounter datasets. Consolidated update logic into maintainable scripts, enhanced data validation processes, and removed redundant schema fields to simplify downstream analysis. Focused on data integrity by remediating null values, reversing incorrect flow directions, and ensuring accurate geospatial representation. Maintained thorough documentation and traceable commit history, supporting reliable analytics and reporting for urban planning and traffic management use cases.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
4
Lines of code
771
Activity Months4
Your Network
6 peopleSame Organization
@toronto.ca1
Shared Repositories
5
Work History
June 2026
5 Commits • 1 Features
Jun 1, 2026Month: 2026-06. Focused work on CityofToronto/bdit_data-sources delivering EcoCounter Flow Data Updates and Contraflow Schema Cleanup across Queens Quay, Wellington, and Adelaide regions. Updated flow directions and counted modes, removed contraflow field to simplify data handling and ensure consistency across the EcoCounter dataset. Completed a series of commits linked to the change set (a2fbd0e1f8f7374ca041d21d6d69048eb50afafa; a84857afc35b1996ad6e7ff2e53eda19508b06e3; 2a462a0d4578e4f3263b0743c76f7e9684e37112; eb8aeb0a757aa2e6c09d4afff0cc9193a0e53758; f9ebb08729a816da92a26feb59c48f32567ce0a9).
5 Commits • 1 Features
Jun 1, 2026Month: 2026-06. Focused work on CityofToronto/bdit_data-sources delivering EcoCounter Flow Data Updates and Contraflow Schema Cleanup across Queens Quay, Wellington, and Adelaide regions. Updated flow directions and counted modes, removed contraflow field to simplify data handling and ensure consistency across the EcoCounter dataset. Completed a series of commits linked to the change set (a2fbd0e1f8f7374ca041d21d6d69048eb50afafa; a84857afc35b1996ad6e7ff2e53eda19508b06e3; 2a462a0d4578e4f3263b0743c76f7e9684e37112; eb8aeb0a757aa2e6c09d4afff0cc9193a0e53758; f9ebb08729a816da92a26feb59c48f32567ce0a9).
June 2026
January 2026
1 Commits
Jan 1, 2026January 2026 (2026-01): CityofToronto/bdit_data-sources focused on data quality improvements in traffic analytics. No new features delivered this month; primary effort centered on correcting traffic flow geometry to reflect actual movement direction, with a SQL-based fix and associated commit. This work enhances data reliability for downstream analytics and decision-making.
January 2026
1 Commits
Jan 1, 2026January 2026 (2026-01): CityofToronto/bdit_data-sources focused on data quality improvements in traffic analytics. No new features delivered this month; primary effort centered on correcting traffic flow geometry to reflect actual movement direction, with a SQL-based fix and associated commit. This work enhances data reliability for downstream analytics and decision-making.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for CityofToronto/bdit_data-sources focusing on data quality improvements and feature delivery related to flows classification.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for CityofToronto/bdit_data-sources focusing on data quality improvements and feature delivery related to flows classification.
December 2025
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for CityofToronto/bdit_data-sources. Focused on data quality, maintainability, and process clarity for intersection data used in traffic analysis and urban planning.
September 2025
4 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for CityofToronto/bdit_data-sources. Focused on data quality, maintainability, and process clarity for intersection data used in traffic analysis and urban planning.
Activity
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Quality Metrics
Correctness96.4%
Maintainability91.0%
Architecture91.0%
Performance92.8%
AI Usage25.4%
Skills & Technologies
Programming Languages
JSONMarkdownSQL
Technical Skills
Data EngineeringPostGISSQLSQL scriptingdata analysisdata managementdata manipulationdata validationdatabase managementdocumentationgeospatial analysisurban planning
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline