NYCPlanning/data-engineering
Dec 2024 – Aug 2025
6 Months active
Languages Used
PythonSQLYAMLJSON
Technical Skills
Data EngineeringData TransformationETLGeoPandasGeopandasPandas
Alex Richey
PROFILE
Alex Richey
Alex Richey contributed to the NYCPlanning/data-engineering repository by building and refining data integration pipelines, focusing on traceability, governance, and data quality. He implemented features such as ProcessingResult and ProcessingSummary to capture detailed data lineage, standardized connector logic for BYTES datasets, and developed new connectors for external sources like U.S. Courts. Using Python, SQL, and YAML, Alex refactored CI workflows to align with Python packaging standards and improved test infrastructure for reliability. His work emphasized maintainable code, robust error handling, and scalable data ingestion, resulting in more reliable analytics, streamlined onboarding, and enhanced compliance across the data engineering platform.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
13Total
Bugs
3
Commits
13
Features
8
Lines of code
5,972
Activity Months6
Your Network
6 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: NYCPlanning/data-engineering delivered a comprehensive BYTES Connector Dataset Mapping and URL Resolution feature. The work standardizes data access and management across BYTES datasets and refactors connector logic to leverage a new sitemap module for URL generation and file identification. Tests were added to verify URL resolution for specific datasets, improving reliability. No major bugs were reported this month; changes align with data governance and support smoother onboarding for new datasets and scalable data processing pipelines.
1 Commits • 1 Features
Aug 1, 2025August 2025: NYCPlanning/data-engineering delivered a comprehensive BYTES Connector Dataset Mapping and URL Resolution feature. The work standardizes data access and management across BYTES datasets and refactors connector logic to leverage a new sitemap module for URL generation and file identification. Tests were added to verify URL resolution for specific datasets, improving reliability. No major bugs were reported this month; changes align with data governance and support smoother onboarding for new datasets and scalable data processing pipelines.
August 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 (NYCPlanning/data-engineering): Delivered two focused enhancements, improving data quality and expanding external data coverage for NYC planning analytics. Key features delivered: U.S. Courts Connector for NYC/Brooklyn — a new HTML-based connector that extracts court name, address, type, and phone from the U.S. Courts site. Major bugs fixed: Data Ingestion Template Fixes for BPL Libraries and NYSED Enrollment — corrected BPL library locations fetch (endpoint and geometry configuration) and standardized NYSED enrollment templates by renaming grade-related columns and fixing an affiliation column ID typo. These changes were implemented via commits 98a13acabac244735560c39a87499a982fa25294, 50effc9c35eeb748d7eea284aa7a18ef8bf0ffb4, and f686ac8a8ef4034439c54e75a671eba09d1c5ddb. Overall impact and accomplishments: improved data reliability and consistency across ingestion pipelines, reducing downstream data quality issues and enabling richer analytics and reporting. Expanded data surface supports more comprehensive NYC planning insights and faster decision-making. Technologies and skills demonstrated: Python-based data ingestion templates, HTML scraping/parsing, template standardization, data quality controls, and end-to-end data integration capabilities. Business value: lowers manual data cleaning, increases accuracy of external datasets, and accelerates planning workflows with reliable data.”
July 2025
3 Commits • 1 Features
Jul 1, 2025July 2025 (NYCPlanning/data-engineering): Delivered two focused enhancements, improving data quality and expanding external data coverage for NYC planning analytics. Key features delivered: U.S. Courts Connector for NYC/Brooklyn — a new HTML-based connector that extracts court name, address, type, and phone from the U.S. Courts site. Major bugs fixed: Data Ingestion Template Fixes for BPL Libraries and NYSED Enrollment — corrected BPL library locations fetch (endpoint and geometry configuration) and standardized NYSED enrollment templates by renaming grade-related columns and fixing an affiliation column ID typo. These changes were implemented via commits 98a13acabac244735560c39a87499a982fa25294, 50effc9c35eeb748d7eea284aa7a18ef8bf0ffb4, and f686ac8a8ef4034439c54e75a671eba09d1c5ddb. Overall impact and accomplishments: improved data reliability and consistency across ingestion pipelines, reducing downstream data quality issues and enabling richer analytics and reporting. Expanded data surface supports more comprehensive NYC planning insights and faster decision-making. Technologies and skills demonstrated: Python-based data ingestion templates, HTML scraping/parsing, template standardization, data quality controls, and end-to-end data integration capabilities. Business value: lowers manual data cleaning, increases accuracy of external datasets, and accelerates planning workflows with reliable data.”
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — NYCPlanning/data-engineering monthly summary. Key feature delivered: CI Workflow Command Refactor to execute the dcpy package as a Python module (python -m dcpy) rather than invoking the CLI entry point (python -m dcpy.cli). This change leverages __main__.py, aligns with Python packaging standards, and reduces path-related risks in CI. Commit 694c74a3ce3e3b02f95c21623969da180651d693 (“use __main__ instead of cli”).
1 Commits • 1 Features
Apr 1, 2025April 2025 — NYCPlanning/data-engineering monthly summary. Key feature delivered: CI Workflow Command Refactor to execute the dcpy package as a Python module (python -m dcpy) rather than invoking the CLI entry point (python -m dcpy.cli). This change leverages __main__.py, aligns with Python packaging standards, and reduces path-related risks in CI. Commit 694c74a3ce3e3b02f95c21623969da180651d693 (“use __main__ instead of cli”).
April 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for NYCPlanning/data-engineering. Focused on improving data-flow visibility and stabilizing tests ahead of the connector registry rollout. Delivered a new visual documentation artifact for lifecycle connectors and adjusted tests to decouple from deprecated ESRI behavior. These efforts enhance onboarding, reduce risk during registry migration, and support faster integration of data sources while maintaining pipeline reliability.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for NYCPlanning/data-engineering. Focused on improving data-flow visibility and stabilizing tests ahead of the connector registry rollout. Delivered a new visual documentation artifact for lifecycle connectors and adjusted tests to decouple from deprecated ESRI behavior. These efforts enhance onboarding, reduce risk during registry migration, and support faster integration of data sources while maintaining pipeline reliability.
February 2025
4 Commits • 3 Features
Feb 1, 2025February 2025: NYCPlanning/data-engineering delivered a set of targeted improvements to test infrastructure, metadata handling, and data-connectivity capabilities, culminating in more reliable pipelines and faster iteration cycles. The month focused on reorganizing tests, strengthening data integrity checks, enabling flexible dependency management for product-metadata, and introducing dynamic recipe data connectors with EDM publishing support.
4 Commits • 3 Features
Feb 1, 2025February 2025: NYCPlanning/data-engineering delivered a set of targeted improvements to test infrastructure, metadata handling, and data-connectivity capabilities, culminating in more reliable pipelines and faster iteration cycles. The month focused on reorganizing tests, strengthening data integrity checks, enabling flexible dependency management for product-metadata, and introducing dynamic recipe data connectors with EDM publishing support.
February 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024: Focused on strengthening data pipeline traceability, governance, and observability for NYCPlanning/data-engineering. Delivered a dedicated traceability layer with ProcessingResult and ProcessingSummary to capture detailed processing steps, DataFrame changes, and a changes summary; ingestion now persists summaries to configuration. Introduced a minimal wrapper around processor outputs and standardized ProcessingSummary usage across all processors to ensure consistent visibility. No major bugs fixed this month; issues were managed in support activities aligned with the feature rollout. This work improves data lineage, debugging efficiency, and compliance readiness, and lays the foundation for governance metrics and future optimizations.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024: Focused on strengthening data pipeline traceability, governance, and observability for NYCPlanning/data-engineering. Delivered a dedicated traceability layer with ProcessingResult and ProcessingSummary to capture detailed processing steps, DataFrame changes, and a changes summary; ingestion now persists summaries to configuration. Introduced a minimal wrapper around processor outputs and standardized ProcessingSummary usage across all processors to ensure consistent visibility. No major bugs fixed this month; issues were managed in support activities aligned with the feature rollout. This work improves data lineage, debugging efficiency, and compliance readiness, and lays the foundation for governance metrics and future optimizations.
Activity
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Quality Metrics
Correctness85.4%
Maintainability85.4%
Architecture83.2%
Performance77.8%
AI Usage21.6%
Skills & Technologies
Programming Languages
JSONPythonSQLYAML
Technical Skills
API IntegrationBackend DevelopmentCI/CDConfiguration ManagementData EngineeringData IngestionData ModelingData TransformationDiagrammingDocumentationETLError HandlingFile Structure ManagementGeoPandasGeopandas
Repositories Contributed To
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