NYCPlanning/data-engineering
Dec 2024 – Feb 2026
8 Months active
Languages Used
BashPythonSQLYAMLMarkdownShell
Technical Skills
AWS S3CI/CDData EngineeringDockerETLPostgreSQL
Damon McCullough
PROFILE
Damon Mccullough
Over eight months, Daniel McCullough engineered robust data pipelines and automation features for the NYCPlanning/data-engineering repository, focusing on scalable data product foundations and workflow reliability. He delivered ingestion and export pipelines using dbt and Bash, automated CI/CD with GitHub Actions, and enhanced data quality through SQL-based corrections and schema validation. Daniel replaced legacy FTP with secure SFTP integration via Paramiko, improved cloud storage interoperability with Docker and S3-compatible services, and introduced a CLI for automated schema comparison. His work emphasized maintainable DevOps practices, comprehensive testing, and streamlined data management, resulting in resilient, production-ready workflows across Python, SQL, and Shell.
Overall Statistics
Feature vs Bugs
69%Features
Repository Contributions
15Total
Bugs
4
Commits
15
Features
9
Lines of code
2,337
Activity Months8
Your Network
9 peopleSame Organization
@planning.nyc.gov3
Shared Repositories
6
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 performance summary for NYCPlanning/data-engineering: Key deliverable was the Database Schema Comparison CLI, enabling automated comparison of build tables and robust equality checks, with improved SQL column comparison to verify development vs production schemas. Major bugs fixed: none reported this month; no regression risk introduced. Impact: reduces schema drift risk, speeds up deployment validation, and provides a foundation for future automation across data pipelines. Technologies/skills demonstrated: CLI design and tooling, database schema validation, SQL difference logic, and cross-environment validation.
1 Commits • 1 Features
Feb 1, 2026February 2026 performance summary for NYCPlanning/data-engineering: Key deliverable was the Database Schema Comparison CLI, enabling automated comparison of build tables and robust equality checks, with improved SQL column comparison to verify development vs production schemas. Major bugs fixed: none reported this month; no regression risk introduced. Impact: reduces schema drift risk, speeds up deployment validation, and provides a foundation for future automation across data pipelines. Technologies/skills demonstrated: CLI design and tooling, database schema validation, SQL difference logic, and cross-environment validation.
February 2026
January 2026
2 Commits
Jan 1, 2026January 2026 monthly summary for NYCPlanning/data-engineering: delivered reliability improvements and security hygiene with targeted changes in test discovery and dependency management, enabling faster, safer CI and shipping.
January 2026
2 Commits
Jan 1, 2026January 2026 monthly summary for NYCPlanning/data-engineering: delivered reliability improvements and security hygiene with targeted changes in test discovery and dependency management, enabling faster, safer CI and shipping.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered critical CBBR export data quality improvements for NYCPlanning/data-engineering. Implemented schema enhancements by adding policy_area and need_group columns to CBBR export SQL, refactored development bucket handling in the CI/CD pipeline to improve deployment reliability, and corrected mapping of agency response fields to boost data completeness and accuracy of CBBR exports. These changes enhance downstream analytics, reduce data quality issues in production, and support more accurate policy-level reporting.
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered critical CBBR export data quality improvements for NYCPlanning/data-engineering. Implemented schema enhancements by adding policy_area and need_group columns to CBBR export SQL, refactored development bucket handling in the CI/CD pipeline to improve deployment reliability, and corrected mapping of agency response fields to boost data completeness and accuracy of CBBR exports. These changes enhance downstream analytics, reduce data quality issues in production, and support more accurate policy-level reporting.
September 2025
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for NYCPlanning/data-engineering: Focused on stabilizing storage interactions with S3-compatible services and improving data updates governance. Delivered reliable data update workflows and enhanced issue-tracking visibility through GitHub templates and forms.
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for NYCPlanning/data-engineering: Focused on stabilizing storage interactions with S3-compatible services and improving data updates governance. Delivered reliable data update workflows and enhanced issue-tracking visibility through GitHub templates and forms.
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 performance summary for NYCPlanning/data-engineering: Delivered two feature sets and strengthened data reliability and security. kpdb data extraction/export enhancements improved robustness, Excel compatibility, and added FGDB export with version-based upload routing. Replaced deprecated FTP with a Paramiko-based SFTP solution, including a development environment for SFTP and comprehensive unit/integration tests. These changes reduce downstream errors, improve secure data transfers, and align with data product patterns.
2 Commits • 2 Features
May 1, 2025May 2025 performance summary for NYCPlanning/data-engineering: Delivered two feature sets and strengthened data reliability and security. kpdb data extraction/export enhancements improved robustness, Excel compatibility, and added FGDB export with version-based upload routing. Replaced deprecated FTP with a Paramiko-based SFTP solution, including a development environment for SFTP and comprehensive unit/integration tests. These changes reduce downstream errors, improve secure data transfers, and align with data product patterns.
May 2025
April 2025
2 Commits • 2 Features
Apr 1, 2025During April 2025, delivered two high-impact features in NYCPlanning/data-engineering that expand data enrichment and export capabilities. These changes enhance spatial analytics coverage for CEQR and automate LION data distribution to downstream systems, enabling faster decision-making and more interoperable datasets.
April 2025
2 Commits • 2 Features
Apr 1, 2025During April 2025, delivered two high-impact features in NYCPlanning/data-engineering that expand data enrichment and export capabilities. These changes enhance spatial analytics coverage for CEQR and automate LION data distribution to downstream systems, enabling faster decision-making and more interoperable datasets.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for NYCPlanning/data-engineering: Key achievements include a data quality fix for CPDB spatial data and the addition of ArcGIS Online feature service ingestion. The CPDB bug corrected inverted longitude values for point geometries in out-of-region NYC projects and added a build visibility echo. The ArcGIS Online ingestion introduces ESRIFeatureServer as a new source type, updating data models, ingestion configuration, extraction utilities, and tests to enable seamless ingestion of ArcGIS Online datasets. These changes improve data accuracy for planning analytics, expand data source coverage, and strengthen the robustness of ingestion pipelines.
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for NYCPlanning/data-engineering: Key achievements include a data quality fix for CPDB spatial data and the addition of ArcGIS Online feature service ingestion. The CPDB bug corrected inverted longitude values for point geometries in out-of-region NYC projects and added a build visibility echo. The ArcGIS Online ingestion introduces ESRIFeatureServer as a new source type, updating data models, ingestion configuration, extraction utilities, and tests to enable seamless ingestion of ArcGIS Online datasets. These changes improve data accuracy for planning analytics, expand data source coverage, and strengthen the robustness of ingestion pipelines.
February 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered the CDBG data product foundation for NYCPlanning/data-engineering, establishing the data product folder, a dbt project, and ingest/transform/export pipelines for HUD data. Implemented GitHub Actions CI/CD to automate builds, tests, and deployments. Initial build committed: 2bac1f3838a4571d54f73a8d679a44c3fa13b86d ("setup for initial build of new cdbg data product (#1355)"). Major bugs fixed: none reported this month. Business impact: provides a scalable data product foundation enabling timely HUD data analytics and faster onboarding of new datasets. Technologies demonstrated: GitHub Actions, dbt, data ingestion/ETL, and modular data-product architecture.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024: Delivered the CDBG data product foundation for NYCPlanning/data-engineering, establishing the data product folder, a dbt project, and ingest/transform/export pipelines for HUD data. Implemented GitHub Actions CI/CD to automate builds, tests, and deployments. Initial build committed: 2bac1f3838a4571d54f73a8d679a44c3fa13b86d ("setup for initial build of new cdbg data product (#1355)"). Major bugs fixed: none reported this month. Business impact: provides a scalable data product foundation enabling timely HUD data analytics and faster onboarding of new datasets. Technologies demonstrated: GitHub Actions, dbt, data ingestion/ETL, and modular data-product architecture.
Activity
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Quality Metrics
Correctness88.0%
Maintainability87.4%
Architecture87.4%
Performance77.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashMarkdownPythonSQLShellYAML
Technical Skills
API IntegrationAWS S3CI/CDCLI developmentCloud StorageData EngineeringData IngestionData ManagementData ProcessingDatabase ExportDatabase ManagementDevOpsDockerDocumentationETL
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline