cal-itp/data-infra
Oct 2024 – Mar 2026
15 Months active
Languages Used
PythonBashHCLMakefileYAMLJSONMarkdownShell
Technical Skills
CLI DevelopmentData EngineeringPythonPython developmentTestingdependency management
Doc Ritezel
PROFILE
Doc Ritezel
Over 15 months, Doc contributed to cal-itp/data-infra by engineering robust data infrastructure and workflow automation for public transit data. He modernized Airflow orchestration and Composer environments, consolidated GTFS schedule pipelines, and implemented secure, scalable deployments using Terraform and Google Cloud Platform. Doc enhanced data ingestion and validation with Python, improved reliability through automated testing and dependency management, and strengthened governance with IAM controls and audit logging. His work included deploying Metabase analytics on Cloud Run, optimizing CI/CD with GitHub Actions, and refining ETL processes for data quality. These efforts delivered maintainable, production-grade pipelines supporting analytics and operational efficiency.
Overall Statistics
Feature vs Bugs
90%Features
Repository Contributions
126Total
Bugs
7
Commits
126
Features
62
Lines of code
1,983,430
Activity Months15
Your Network
19 peopleSame Organization
@ministryofvelocity.com2
Shared Repositories
17
Work History
March 2026
4 Commits • 3 Features
Mar 1, 2026March 2026 (cal-itp/data-infra): Delivered critical data-protection, ingest-automation, and governance enhancements that improve recoverability, analyst workflow efficiency, and security posture. Implemented automated Metabase CloudSQL backups with retention and deletion protection to strengthen data resilience. Launched a Manual GTFS Upload workflow with a dedicated staging bucket, updated DAGs/tests/docs, and Slack alerts to empower analysts to submit GTFS schedules with visibility. Consolidated workflow infrastructure by adding a dedicated service account and output bucket and removing an obsolete cloud function bucket, simplifying permissions and reducing blast radius. Complemented by updated READMEs and tests to ensure operability and governance going forward.
4 Commits • 3 Features
Mar 1, 2026March 2026 (cal-itp/data-infra): Delivered critical data-protection, ingest-automation, and governance enhancements that improve recoverability, analyst workflow efficiency, and security posture. Implemented automated Metabase CloudSQL backups with retention and deletion protection to strengthen data resilience. Launched a Manual GTFS Upload workflow with a dedicated staging bucket, updated DAGs/tests/docs, and Slack alerts to empower analysts to submit GTFS schedules with visibility. Consolidated workflow infrastructure by adding a dedicated service account and output bucket and removing an obsolete cloud function bucket, simplifying permissions and reducing blast radius. Complemented by updated READMEs and tests to ensure operability and governance going forward.
March 2026
February 2026
7 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for cal-itp/data-infra: Delivered production-grade Metabase deployment on Cloud Run with dedicated production/staging images, CI/CD updates, and Terraform configurations; tuned Cloud SQL resources (db-f1-micro) and enterprise edition, with IAM adjustments and Terraform outputs to bolster security and scalability of analytics. Implemented NTD Data Ingestion DAG to process National Transit Database Excel files, including alerts (email/Slack), improved data formatting, epoch/timestamp fixes, updated transit.dot.gov connection hook, and documentation. Also performed data quality improvements (valid table columns, BigNumeric usage, conversion of external tables) and enhanced observability and documentation to support reliable analytics at scale.
February 2026
7 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for cal-itp/data-infra: Delivered production-grade Metabase deployment on Cloud Run with dedicated production/staging images, CI/CD updates, and Terraform configurations; tuned Cloud SQL resources (db-f1-micro) and enterprise edition, with IAM adjustments and Terraform outputs to bolster security and scalability of analytics. Implemented NTD Data Ingestion DAG to process National Transit Database Excel files, including alerts (email/Slack), improved data formatting, epoch/timestamp fixes, updated transit.dot.gov connection hook, and documentation. Also performed data quality improvements (valid table columns, BigNumeric usage, conversion of external tables) and enhanced observability and documentation to support reliable analytics at scale.
January 2026
3 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for cal-itp/data-infra. Focused on reliability, maintainability, and dev workflow improvements through three key initiatives: 1) Airflow dependency management migration from Poetry to UV; 2) GTFS schedule pipeline consolidation into a single DAG with config checks; 3) Google Composer environment image upgrade. These changes deliver faster development cycles, more reliable tests, simplified DAG maintenance, and better deployment performance.
3 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for cal-itp/data-infra. Focused on reliability, maintainability, and dev workflow improvements through three key initiatives: 1) Airflow dependency management migration from Poetry to UV; 2) GTFS schedule pipeline consolidation into a single DAG with config checks; 3) Google Composer environment image upgrade. These changes deliver faster development cycles, more reliable tests, simplified DAG maintenance, and better deployment performance.
January 2026
December 2025
8 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for cal-itp/data-infra: Infrastructure upgrades and data platform improvements across Airflow, Metabase, and GTFS pipelines, delivering faster runtimes, improved reliability, and analyst access.
December 2025
8 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for cal-itp/data-infra: Infrastructure upgrades and data platform improvements across Airflow, Metabase, and GTFS pipelines, delivering faster runtimes, improved reliability, and analyst access.
November 2025
6 Commits • 2 Features
Nov 1, 2025November 2025 (Month: 2025-11) — Data infrastructure delivered two high-impact features in cal-itp/data-infra that improve data reliability, processing efficiency, and cross-environment consistency. Airflow Composer environment upgrades modernized the orchestration platform across prod, dev, and staging to newer releases, and the GTFS schedule data workflow pipeline was implemented/enhanced to streamline downloading, parsing, and validating GTFS data.
6 Commits • 2 Features
Nov 1, 2025November 2025 (Month: 2025-11) — Data infrastructure delivered two high-impact features in cal-itp/data-infra that improve data reliability, processing efficiency, and cross-environment consistency. Airflow Composer environment upgrades modernized the orchestration platform across prod, dev, and staging to newer releases, and the GTFS schedule data workflow pipeline was implemented/enhanced to streamline downloading, parsing, and validating GTFS data.
November 2025
October 2025
14 Commits • 4 Features
Oct 1, 2025Month: 2025-10 — Delivered security, reliability, and data-infra improvements in cal-itp/data-infra. Implemented Sentinel Logging Infrastructure and GCP Identity Federation to centralize IAM audit logging (US region), route IAM audit logs to Pub/Sub, enable the logging API, create Pub/Sub topics and sinks, and apply Workload Identity Federation with necessary service accounts and GitHub Actions permissions. Established secure staging access for Cal-B/C via a dedicated staging bucket and IAM/workload identity federation with service accounts and roles. Refined CI/CD permissions by updating GitHub Actions service accounts (Cloud SQL permissions and serviceAccountUser rights) across Terraform workflows. Upgraded Composer/Airflow across prod, development, and staging to newer, aligned versions for stability and features. Fixed CKAN hook connectivity by correcting URL construction and test configuration to ensure HTTPS and proper host resolution. Overall, these changes improve security, governance, CI/CD reliability, and data pipeline stability while delivering measurable business value.
October 2025
14 Commits • 4 Features
Oct 1, 2025Month: 2025-10 — Delivered security, reliability, and data-infra improvements in cal-itp/data-infra. Implemented Sentinel Logging Infrastructure and GCP Identity Federation to centralize IAM audit logging (US region), route IAM audit logs to Pub/Sub, enable the logging API, create Pub/Sub topics and sinks, and apply Workload Identity Federation with necessary service accounts and GitHub Actions permissions. Established secure staging access for Cal-B/C via a dedicated staging bucket and IAM/workload identity federation with service accounts and roles. Refined CI/CD permissions by updating GitHub Actions service accounts (Cloud SQL permissions and serviceAccountUser rights) across Terraform workflows. Upgraded Composer/Airflow across prod, development, and staging to newer, aligned versions for stability and features. Fixed CKAN hook connectivity by correcting URL construction and test configuration to ensure HTTPS and proper host resolution. Overall, these changes improve security, governance, CI/CD reliability, and data pipeline stability while delivering measurable business value.
September 2025
18 Commits • 4 Features
Sep 1, 2025September 2025 performance summary for cal-itp/data-infra: Delivered GTFS-RT parsing enhancements, reliability improvements, throughput optimizations, and data ingestion modernization. These efforts improved data freshness and reliability of GTFS-RT streams, reduced operational waste from retries, and enabled smoother backfills and scaling. Also cleaned up legacy DAGs and advanced Kuba API data formatting to support hourly updates and JSONL pipelines.
18 Commits • 4 Features
Sep 1, 2025September 2025 performance summary for cal-itp/data-infra: Delivered GTFS-RT parsing enhancements, reliability improvements, throughput optimizations, and data ingestion modernization. These efforts improved data freshness and reliability of GTFS-RT streams, reduced operational waste from retries, and enabled smoother backfills and scaling. Also cleaned up legacy DAGs and advanced Kuba API data formatting to support hourly updates and JSONL pipelines.
September 2025
August 2025
7 Commits • 4 Features
Aug 1, 20252025-08 monthly summary for cal-itp/data-infra focusing on business value, stability, and developer productivity. Key features delivered include local Airflow development environment optimization (max_parallelism=4; removal of default machine profile) to speed up local testing and reduce setup friction (commit ae6dcfa841b808f436d7ce4beadea482017a1ba2). Kuba data quality enforcement introduced KubaDictCleaner and tests to reject blank values during cleaning, improving data integrity (commit 83e56d99f449087d530da31c8ee37db679005b55). Kuba device properties partitioning by operator_identifier enables granular data organization (commit 119226faab70822d83f9a12061c53d8cc2ff10a7). A new Airflow data staging copy DAG copies GTFS RT and schedule data from production GCS to staging GCS hourly for the last 30 days to support development and testing with recent data (commit 816a9a4d89b0632475dde6029fb9f823d749e2db). Terraform IAM change grants the production composer service account access to staging GCS buckets (roles/storage.objectUser) to streamline testing workflows (commit 9e330abf7a94a0dd00465dcbbccfe96567d99582). Major bugs fixed include: web scraping stability improved by mimicking a Chrome 139 user agent to retrieve NTD Excel files; GTFS unzip concurrency safeguard reduced parallelism from 2 to 1 thread; Kuba parsing refinement to reject blank values during cleaning. These fixes improve reliability of data ingestion and scraping pipelines. Impact: faster development cycles, higher data quality, better staging/testing capabilities with recent data, and improved security/compliance through defined access controls. Technologies/skills demonstrated: Airflow configuration and DAGs, data quality tooling and testing, data partitioning strategies, GCS/IAM permissions, Terraform across environments, HTTP header/user-agent strategies for scraping, and concurrency/performance optimizations.
August 2025
7 Commits • 4 Features
Aug 1, 20252025-08 monthly summary for cal-itp/data-infra focusing on business value, stability, and developer productivity. Key features delivered include local Airflow development environment optimization (max_parallelism=4; removal of default machine profile) to speed up local testing and reduce setup friction (commit ae6dcfa841b808f436d7ce4beadea482017a1ba2). Kuba data quality enforcement introduced KubaDictCleaner and tests to reject blank values during cleaning, improving data integrity (commit 83e56d99f449087d530da31c8ee37db679005b55). Kuba device properties partitioning by operator_identifier enables granular data organization (commit 119226faab70822d83f9a12061c53d8cc2ff10a7). A new Airflow data staging copy DAG copies GTFS RT and schedule data from production GCS to staging GCS hourly for the last 30 days to support development and testing with recent data (commit 816a9a4d89b0632475dde6029fb9f823d749e2db). Terraform IAM change grants the production composer service account access to staging GCS buckets (roles/storage.objectUser) to streamline testing workflows (commit 9e330abf7a94a0dd00465dcbbccfe96567d99582). Major bugs fixed include: web scraping stability improved by mimicking a Chrome 139 user agent to retrieve NTD Excel files; GTFS unzip concurrency safeguard reduced parallelism from 2 to 1 thread; Kuba parsing refinement to reject blank values during cleaning. These fixes improve reliability of data ingestion and scraping pipelines. Impact: faster development cycles, higher data quality, better staging/testing capabilities with recent data, and improved security/compliance through defined access controls. Technologies/skills demonstrated: Airflow configuration and DAGs, data quality tooling and testing, data partitioning strategies, GCS/IAM permissions, Terraform across environments, HTTP header/user-agent strategies for scraping, and concurrency/performance optimizations.
July 2025
27 Commits • 25 Features
Jul 1, 2025July 2025 highlights for cal-itp/data-infra: Delivered a focused set of production-grade infrastructure and data-pipeline improvements aimed at security, reliability, and operational efficiency. Key capabilities include GKE workflow identity federation for the Composer service account, provisioned a production Composer environment with enforced production user roles, and enhanced production governance with Kubernetes service accounts. Composer image upgrades were applied across staging and production to align with current Airflow versions, and Airtable loader DAGs are now limited to the latest runs to reduce unnecessary workload. Major bug fix: Kuba API authentication now masks passwords to reduce exposure. These efforts improve security posture, reliability of data workflows, and developer velocity while reducing maintenance toil.
27 Commits • 25 Features
Jul 1, 2025July 2025 highlights for cal-itp/data-infra: Delivered a focused set of production-grade infrastructure and data-pipeline improvements aimed at security, reliability, and operational efficiency. Key capabilities include GKE workflow identity federation for the Composer service account, provisioned a production Composer environment with enforced production user roles, and enhanced production governance with Kubernetes service accounts. Composer image upgrades were applied across staging and production to align with current Airflow versions, and Airtable loader DAGs are now limited to the latest runs to reduce unnecessary workload. Major bug fix: Kuba API authentication now masks passwords to reduce exposure. These efforts improve security posture, reliability of data workflows, and developer velocity while reducing maintenance toil.
July 2025
June 2025
15 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for cal-itp/data-infra. This period focused on staging governance improvements and production deployment automation to increase observability, security, and release velocity. Key outcomes include enabling staging audit logging, creating logging sinks, updating BigQuery/dataset permissions for dbt audits, and automating production Airflow deployment via Terraform CI/CD. The work also tightened IAM controls, added governance documentation, and removed deprecated resources to reduce maintenance overhead and risk.
June 2025
15 Commits • 2 Features
Jun 1, 2025June 2025 monthly summary for cal-itp/data-infra. This period focused on staging governance improvements and production deployment automation to increase observability, security, and release velocity. Key outcomes include enabling staging audit logging, creating logging sinks, updating BigQuery/dataset permissions for dbt audits, and automating production Airflow deployment via Terraform CI/CD. The work also tightened IAM controls, added governance documentation, and removed deprecated resources to reduce maintenance overhead and risk.
May 2025
1 Commits • 1 Features
May 1, 2025Monthly summary for 2025-05 for cal-itp/data-infra. This month focused on securing web traffic for GTFS and dbt-docs sites by enabling HTTPS across staging and production, and establishing production-ready SSL/TLS configurations. No major bugs were reported this month. Key outcomes include improved security, data integrity, accessibility, and user trust with encrypted connections; groundwork laid for future security enhancements and easier compliance.
1 Commits • 1 Features
May 1, 2025Monthly summary for 2025-05 for cal-itp/data-infra. This month focused on securing web traffic for GTFS and dbt-docs sites by enabling HTTPS across staging and production, and establishing production-ready SSL/TLS configurations. No major bugs were reported this month. Key outcomes include improved security, data integrity, accessibility, and user trust with encrypted connections; groundwork laid for future security enhancements and easier compliance.
May 2025
April 2025
11 Commits • 5 Features
Apr 1, 2025April 2025 — cal-itp/data-infra: Delivered key enhancements across Airflow deployment, governance, authentication, routing, and infrastructure automation. Established staging Airflow Composer environment with DAG deployment workflows, enabling safer staging tests and faster release cycles. Implemented new DDS Analysts IAM role with Terraform adjustments to strengthen data access governance, and aligned provider versions for stability. Enhanced authentication for @dot.ca.gov users, with admin login instructions to streamline onboarding. Introduced GTFS bucket request routing to improve host-specific routing. Modernized Terraform CI/CD by removing deprecated resources, ensuring only changed modules are applied, and ignoring GCS label changes to reduce unnecessary runs, resulting in lower risk and faster applies. These changes collectively reduce deployment risk, improve data access controls, and accelerate delivery of data infrastructure features.
April 2025
11 Commits • 5 Features
Apr 1, 2025April 2025 — cal-itp/data-infra: Delivered key enhancements across Airflow deployment, governance, authentication, routing, and infrastructure automation. Established staging Airflow Composer environment with DAG deployment workflows, enabling safer staging tests and faster release cycles. Implemented new DDS Analysts IAM role with Terraform adjustments to strengthen data access governance, and aligned provider versions for stability. Enhanced authentication for @dot.ca.gov users, with admin login instructions to streamline onboarding. Introduced GTFS bucket request routing to improve host-specific routing. Modernized Terraform CI/CD by removing deprecated resources, ensuring only changed modules are applied, and ignoring GCS label changes to reduce unnecessary runs, resulting in lower risk and faster applies. These changes collectively reduce deployment risk, improve data access controls, and accelerate delivery of data infrastructure features.
February 2025
2 Commits • 2 Features
Feb 1, 2025February 2025: Delivered production-ready infrastructure modernization via Terraform, enhanced staging CI/test automation, and improved governance to support safer, faster deployments. Focused on reducing manual toil, increasing reproducibility, and enabling scalable growth for data infrastructure.
2 Commits • 2 Features
Feb 1, 2025February 2025: Delivered production-ready infrastructure modernization via Terraform, enhanced staging CI/test automation, and improved governance to support safer, faster deployments. Focused on reducing manual toil, increasing reproducibility, and enabling scalable growth for data infrastructure.
February 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a robust GTFS-RT parsing flow with enhanced error handling and user-facing messaging; standardized console output; improved maintainability via explicit exception types; and integrated linting tooling (flake8) into dependencies. These changes reduce incident triage time and improve data quality and operator experience.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a robust GTFS-RT parsing flow with enhanced error handling and user-facing messaging; standardized console output; improved maintainability via explicit exception types; and integrated linting tooling (flake8) into dependencies. These changes reduce incident triage time and improve data quality and operator experience.
October 2024
2 Commits • 1 Features
Oct 1, 2024October 2024: Strengthened data-infra GTFS-RT parsing reliability and maintainability through dependency upgrades and expanded CLI test coverage in cal-itp/data-infra. Delivered GTFS-RT Parser v2 improvements, refreshed dependencies, and added Typer-based CLI tests validating inputs and expected outputs. No major bugs fixed this month. This work improves CI reliability, reduces production risk, and clarifies CLI behavior for operators and developers.
2 Commits • 1 Features
Oct 1, 2024October 2024: Strengthened data-infra GTFS-RT parsing reliability and maintainability through dependency upgrades and expanded CLI test coverage in cal-itp/data-infra. Delivered GTFS-RT Parser v2 improvements, refreshed dependencies, and added Typer-based CLI tests validating inputs and expected outputs. No major bugs fixed this month. This work improves CI reliability, reduces production risk, and clarifies CLI behavior for operators and developers.
October 2024
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Quality Metrics
Correctness91.8%
Maintainability90.4%
Architecture90.2%
Performance85.6%
AI Usage22.6%
Skills & Technologies
Programming Languages
BashDockerfileHCLJSONMakefileMarkdownPythonSQLShellTOML
Technical Skills
API IntegrationAirflowApache AirflowBackend DevelopmentBigQueryCI/CDCLI DevelopmentCloudCloud ComputingCloud DeploymentCloud EngineeringCloud IAMCloud InfrastructureCloud Infrastructure ManagementCloud Logging
Repositories Contributed To
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