CityofToronto/bdit_data-sources
Mar 2025 – Dec 2025
2 Months active
Languages Used
MarkdownSQL
Technical Skills
Data MappingData ModelingDocumentationSQLSQL scriptingdata analysis
A-DUYVESTYN
PROFILE
A-duyvestyn
Andrew Duyvestyn contributed to the CityofToronto/bdit_data-sources repository by enhancing the discoverability, integrity, and maintainability of municipal traffic data. He delivered comprehensive documentation updates, including new data links, ERD diagrams, and detailed data table mappings, using Markdown and data modeling techniques to clarify data context for users. Andrew also improved data reliability by decommissioning unused flows, updating flow configuration to support hardware changes, and correcting flow direction data through targeted SQL scripting and data validation. His work addressed both documentation and database management, resulting in clearer onboarding, streamlined analyses, and more accurate traffic data for long-term governance and integration.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
7Total
Bugs
1
Commits
7
Features
3
Lines of code
243
Activity Months2
Your Network
5 peopleShared Repositories
5
Work History
December 2025
4 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for CityofToronto/bdit_data-sources focused on delivering data integrity improvements, hardware reconfiguration support, and flow-direction data quality fixes. The work enhances data reliability for analyses, aligns configuration changes with hardware updates, and enables better long-term data governance.
4 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for CityofToronto/bdit_data-sources focused on delivering data integrity improvements, hardware reconfiguration support, and flow-direction data quality fixes. The work enhances data reliability for analyses, aligns configuration changes with hardware updates, and enables better long-term data governance.
December 2025
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for CityofToronto/bdit_data-sources: Focused on improving data discoverability and maintainability of traffic data sources through documentation and data model overview updates. Delivered comprehensive documentation updates including README enhancements, new data links, ERD diagrams, and data table mappings. Result: clearer data context for consumers, accelerated integration, and reduced onboarding time. Technologies/skills demonstrated include Markdown documentation, ERD diagrams, data modeling, Git version control, and documentation asset management.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for CityofToronto/bdit_data-sources: Focused on improving data discoverability and maintainability of traffic data sources through documentation and data model overview updates. Delivered comprehensive documentation updates including README enhancements, new data links, ERD diagrams, and data table mappings. Result: clearer data context for consumers, accelerated integration, and reduced onboarding time. Technologies/skills demonstrated include Markdown documentation, ERD diagrams, data modeling, Git version control, and documentation asset management.
Activity
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Quality Metrics
Correctness100.0%
Maintainability91.4%
Architecture91.4%
Performance91.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownSQL
Technical Skills
Data MappingData ModelingDocumentationSQLSQL scriptingdata analysisdata validationdatabase management
Repositories Contributed To
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