cal-itp/data-infra
Jul 2025 – Mar 2026
7 Months active
Languages Used
HCLTerraformDockerfileShellPythonJavaScriptMarkdownSQL
Technical Skills
Backend ServicesCDN ConfigurationCI/CDCloud IAM ManagementCloud SecurityGitHub Actions
Jeff Parr
PROFILE
Jeff Parr
Jeff Parr engineered robust data infrastructure in the cal-itp/data-infra repository, focusing on secure, scalable hosting and automated deployment for analytics and reporting. He implemented Google Cloud Platform services such as GCS, Cloud CDN, and Kubernetes, using Terraform for infrastructure as code and Python for backend workflows. His work included workload identity federation to enable secure GitHub Actions automation, optimized BigQuery-to-GCS data pipelines, and modernized JupyterHub environments for data analysis. By centralizing IAM management and streamlining dependency handling, Jeff improved operational reliability, reduced manual intervention, and enhanced testing parity across environments, demonstrating depth in cloud architecture, DevOps, and data engineering.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
36Total
Bugs
4
Commits
36
Features
14
Lines of code
92,670
Activity Months7
Your Network
17 peopleShared Repositories
17
Work History
March 2026
3 Commits • 1 Features
Mar 1, 2026Concise monthly summary for March 2026 focusing on the cal-itp/data-infra repo: - Delivered a reduced-dependency JupyterHub image with enhanced kernel options, enabling project-scoped environments and faster experimentation for data-analyses workflows. - Centralized and streamlined dependency management by removing selected dependencies from the jupyter-singleuser Dockerfile and pyproject.toml, with a new pyproject-local kernel and UV kernel cache to optimize runtime performance. - Removed Git LFS from the jupyter-singleuser image to simplify dependencies, resolve storage constraints, and align with data-analyses expectations. - These changes collectively reduce image size, improve build times, and ease cross-repository collaboration for data-analysis projects.
3 Commits • 1 Features
Mar 1, 2026Concise monthly summary for March 2026 focusing on the cal-itp/data-infra repo: - Delivered a reduced-dependency JupyterHub image with enhanced kernel options, enabling project-scoped environments and faster experimentation for data-analyses workflows. - Centralized and streamlined dependency management by removing selected dependencies from the jupyter-singleuser Dockerfile and pyproject.toml, with a new pyproject-local kernel and UV kernel cache to optimize runtime performance. - Removed Git LFS from the jupyter-singleuser image to simplify dependencies, resolve storage constraints, and align with data-analyses expectations. - These changes collectively reduce image size, improve build times, and ease cross-repository collaboration for data-analysis projects.
March 2026
December 2025
8 Commits • 2 Features
Dec 1, 2025Month: 2025-12 — Data Infra (cal-itp/data-infra) focused on modernizing staging/analysis infrastructure and improving observability. Delivered infrastructure for staging reports and analyses, improved Airflow alerting in staging, and aligned domain routing for safer, faster testing of data products. This work enhances production parity, reduces testing risk, and enables structured data handling across staging environments. Representative commits include: 8c28218992f719c938b519f61dfc5b2713ebe683, 84e09c9f4a12543b3cc2d02e419a735ae99a6a74, c80fb6e4831f6279d932d2602c34f7c9173070d1, b72d37a758fb0383ac511a04a620cb632515a37b, a2a2833a3d12b95caefaf7747654a32f4175db75, 84cfb9efe60a69c61e31b23cbadee18fea91e73a, 6d83d931a49cb55c0bd4a3906fbe4c7a41215da3, aab0a16f46c4109f3602a788d9d30733be08ab8c
December 2025
8 Commits • 2 Features
Dec 1, 2025Month: 2025-12 — Data Infra (cal-itp/data-infra) focused on modernizing staging/analysis infrastructure and improving observability. Delivered infrastructure for staging reports and analyses, improved Airflow alerting in staging, and aligned domain routing for safer, faster testing of data products. This work enhances production parity, reduces testing risk, and enables structured data handling across staging environments. Representative commits include: 8c28218992f719c938b519f61dfc5b2713ebe683, 84e09c9f4a12543b3cc2d02e419a735ae99a6a74, c80fb6e4831f6279d932d2602c34f7c9173070d1, b72d37a758fb0383ac511a04a620cb632515a37b, a2a2833a3d12b95caefaf7747654a32f4175db75, 84cfb9efe60a69c61e31b23cbadee18fea91e73a, 6d83d931a49cb55c0bd4a3906fbe4c7a41215da3, aab0a16f46c4109f3602a788d9d30733be08ab8c
November 2025
10 Commits • 3 Features
Nov 1, 2025In November 2025, the data-infra team delivered measurable reliability, publishing and observability improvements for CKAN ingestion, GTFS publishing, and daily-trips data. Key features include multipart CKAN uploads with post-upload metadata patching and header handling for multiple CSVs, a BigQuery export workflow that prevents empty CSVs via a temp table, corrected daily trip updates with service-date filtering and adjusted joins to ensure accurate counts, enhancements to GTFS publishing including updated docs, user-agent improvements for GTFS downloads, and updated map visuals for GTFS data presentation, and re-enabled and centralized Airflow failure notifications to improve monitoring and incident response. These changes reduce data integrity risk, improve operator visibility, and streamline GTFS data publishing, delivering business value through more reliable data products and faster troubleshooting.
10 Commits • 3 Features
Nov 1, 2025In November 2025, the data-infra team delivered measurable reliability, publishing and observability improvements for CKAN ingestion, GTFS publishing, and daily-trips data. Key features include multipart CKAN uploads with post-upload metadata patching and header handling for multiple CSVs, a BigQuery export workflow that prevents empty CSVs via a temp table, corrected daily trip updates with service-date filtering and adjusted joins to ensure accurate counts, enhancements to GTFS publishing including updated docs, user-agent improvements for GTFS downloads, and updated map visuals for GTFS data presentation, and re-enabled and centralized Airflow failure notifications to improve monitoring and incident response. These changes reduce data integrity risk, improve operator visibility, and streamline GTFS data publishing, delivering business value through more reliable data products and faster troubleshooting.
November 2025
October 2025
3 Commits • 2 Features
Oct 1, 2025Month: 2025-10. Focused on delivering secure, scalable data infrastructure features in cal-itp/data-infra. Key results include provisioning a robust Enghouse SFTP access pathway and optimizing data export to GCS, enabling faster, more secure data delivery to downstream consumers. No major bugs reported this month; efforts prioritized feature delivery and pipeline reliability. Demonstrated strong collaboration with infrastructure and data teams, and improved alignment with governance and security requirements.
October 2025
3 Commits • 2 Features
Oct 1, 2025Month: 2025-10. Focused on delivering secure, scalable data infrastructure features in cal-itp/data-infra. Key results include provisioning a robust Enghouse SFTP access pathway and optimizing data export to GCS, enabling faster, more secure data delivery to downstream consumers. No major bugs reported this month; efforts prioritized feature delivery and pipeline reliability. Demonstrated strong collaboration with infrastructure and data teams, and improved alignment with governance and security requirements.
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for cal-itp/data-infra: Focused on improving testability and deployment reliability by enabling accessibility checks in the JupyterHub environment and establishing a Kubernetes-based staging SFTP endpoint with robust IP management and secure data mounting. These changes deliver measurable business value by enabling QA tooling for accessibility and ensuring stable, auditable data transfer in staging, reducing manual operations and risk.
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for cal-itp/data-infra: Focused on improving testability and deployment reliability by enabling accessibility checks in the JupyterHub environment and establishing a Kubernetes-based staging SFTP endpoint with robust IP management and secure data mounting. These changes deliver measurable business value by enabling QA tooling for accessibility and ensuring stable, auditable data transfer in staging, reducing manual operations and risk.
September 2025
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for cal-itp/data-infra: Delivered stability and IAM improvements with two critical items: increased memory allocation for the update_expired_airtable_issues cloud function to 512MB, reducing memory allocation failures; and introduced a dedicated service account with workload identity for the Enghouse SFTP server to ensure proper permissions and secure access. These changes enhance reliability, security, and operational resilience for background processing and file transfer workflows.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for cal-itp/data-infra: Delivered stability and IAM improvements with two critical items: increased memory allocation for the update_expired_airtable_issues cloud function to 512MB, reducing memory allocation failures; and introduced a dedicated service account with workload identity for the Enghouse SFTP server to ensure proper permissions and secure access. These changes enhance reliability, security, and operational resilience for background processing and file transfer workflows.
July 2025
5 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for cal-itp/data-infra. Focused on delivering scalable, secure hosting for critical analytics and reporting content, enabling automated CI/CD workflows via Google Cloud resources, and strengthening security posture with workload identity federation. Key features delivered: - Reports static site hosting with CI/CD access: Established hosting for reports at reports.dds.dot.ca.gov using a GCS bucket, CDN, and load balancer; enabled workload identity federation so GitHub Actions can securely access the reports service account for report generation workflows. Commits: 35a89e086c8ca9bb5f8687913b7f94778b19b0f1; e4e871623f4e33dd25afb599fb458801c4799305. - Analysis service hosting infrastructure: Implemented infrastructure for analysis content at analysis.dds.dot.ca.gov, including a GCS bucket, a backend bucket for CDN, and URL map routing to support efficient content delivery. Commit: 63f396c530daa0bcaf2de3e727c77063cdd417ad. - Federated identity for data analytics with GitHub Actions: Established workload identity federation to securely map GitHub Actions to Google Cloud resources for the data-analyses repository, including provider setup, attribute mapping, and admin permissions for managing pools. Commits: 9104b9f9e9e839e85542fe9a8170eeb0fc79e8b2; 5c4765aab2596f8d713d04b1f69a5fec160c6298. Major bugs fixed: - Fixed missing workload identity federation for reports, enabling GitHub Actions to securely access the reports service account for automated report generation. Commit: e4e871623f4e33dd25afb599fb458801c4799305. - Added needed GitHub workflow permissions to support federated workflows for data analytics, ensuring smooth access control and admin management for federation pools. Commit: 5c4765aab2596f8d713d04b1f69a5fec160c6298. Overall impact and accomplishments: - Accelerated time-to-market for critical reporting and analysis content by providing a reliable, CDN-backed hosting layer with automated deployment workflows. - Improved security and governance through workload identity federation, reducing the need for long-lived credentials and enabling secure GitHub Actions executions against Google Cloud resources. - Strengthened operational reliability for public-facing analytics by centralizing infrastructure under cal-itp/data-infra and standardizing access patterns. Technologies/skills demonstrated: - Google Cloud Platform: GCS, Cloud CDN, URL maps, load balancers, workload identity federation - GitHub Actions: Federated identities, provider configuration, attribute mapping, and permissions - Infrastructure as code mindset: clear separation of hosting infrastructure for multiple domains, central governance of identity access, and secure workflow automation.
5 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for cal-itp/data-infra. Focused on delivering scalable, secure hosting for critical analytics and reporting content, enabling automated CI/CD workflows via Google Cloud resources, and strengthening security posture with workload identity federation. Key features delivered: - Reports static site hosting with CI/CD access: Established hosting for reports at reports.dds.dot.ca.gov using a GCS bucket, CDN, and load balancer; enabled workload identity federation so GitHub Actions can securely access the reports service account for report generation workflows. Commits: 35a89e086c8ca9bb5f8687913b7f94778b19b0f1; e4e871623f4e33dd25afb599fb458801c4799305. - Analysis service hosting infrastructure: Implemented infrastructure for analysis content at analysis.dds.dot.ca.gov, including a GCS bucket, a backend bucket for CDN, and URL map routing to support efficient content delivery. Commit: 63f396c530daa0bcaf2de3e727c77063cdd417ad. - Federated identity for data analytics with GitHub Actions: Established workload identity federation to securely map GitHub Actions to Google Cloud resources for the data-analyses repository, including provider setup, attribute mapping, and admin permissions for managing pools. Commits: 9104b9f9e9e839e85542fe9a8170eeb0fc79e8b2; 5c4765aab2596f8d713d04b1f69a5fec160c6298. Major bugs fixed: - Fixed missing workload identity federation for reports, enabling GitHub Actions to securely access the reports service account for automated report generation. Commit: e4e871623f4e33dd25afb599fb458801c4799305. - Added needed GitHub workflow permissions to support federated workflows for data analytics, ensuring smooth access control and admin management for federation pools. Commit: 5c4765aab2596f8d713d04b1f69a5fec160c6298. Overall impact and accomplishments: - Accelerated time-to-market for critical reporting and analysis content by providing a reliable, CDN-backed hosting layer with automated deployment workflows. - Improved security and governance through workload identity federation, reducing the need for long-lived credentials and enabling secure GitHub Actions executions against Google Cloud resources. - Strengthened operational reliability for public-facing analytics by centralizing infrastructure under cal-itp/data-infra and standardizing access patterns. Technologies/skills demonstrated: - Google Cloud Platform: GCS, Cloud CDN, URL maps, load balancers, workload identity federation - GitHub Actions: Federated identities, provider configuration, attribute mapping, and permissions - Infrastructure as code mindset: clear separation of hosting infrastructure for multiple domains, central governance of identity access, and secure workflow automation.
July 2025
Activity
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Quality Metrics
Correctness92.8%
Maintainability88.8%
Architecture90.0%
Performance87.8%
AI Usage23.4%
Skills & Technologies
Programming Languages
DockerfileHCLJavaScriptMarkdownPythonSQLShellSvelteTerraformYAML
Technical Skills
API integrationAirflowBackend ServicesBigQueryCDN ConfigurationCI/CDCloud ComputingCloud IAMCloud IAM ManagementCloud InfrastructureCloud Infrastructure ManagementCloud NetworkingCloud SecurityCloud Storage ManagementContainerization
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline