cal-itp/data-infra
Nov 2024 – Mar 2026
17 Months active
Languages Used
PythonSQLTextYAMLsqlyamlCSVDockerfile
Technical Skills
AirflowBigQueryData EngineeringData ModelingData WarehousingDependency Management
Charlie Costanzo
PROFILE
Charlie Costanzo
Chris contributed to the cal-itp/data-infra repository by engineering robust data pipelines and analytics infrastructure for transit payments and ridership data. He designed and maintained scalable ETL workflows using Python, SQL, and Apache Airflow, integrating diverse data sources such as NTD APIs, Littlepay feeds, and GTFS datasets. His work emphasized data quality, access control, and governance, implementing row-level security and Terraform-managed IAM policies. Chris refactored data models for consistency, automated ingestion, and improved reporting, while enhancing developer documentation for maintainability. The depth of his contributions enabled reliable, timely analytics and streamlined onboarding, supporting business decisions and operational transparency.
Overall Statistics
Feature vs Bugs
85%Features
Repository Contributions
100Total
Bugs
7
Commits
100
Features
40
Lines of code
54,394
Activity Months17
Your Network
17 peopleShared Repositories
17
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) focused on strengthening developer-facing documentation for the payments workflow in cal-itp/data-infra. Delivered Payments Documentation Enhancements that clarified procedures, added practical examples, and ensured comprehensive coverage of payment sync processes. Cleaning up outdated files and fixing formatting and URL issues reduced friction for onboarding and day-to-day maintenance. The result is a clearer, auditable reference that supports reliable payment operations and quicker incident resolution.
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) focused on strengthening developer-facing documentation for the payments workflow in cal-itp/data-infra. Delivered Payments Documentation Enhancements that clarified procedures, added practical examples, and ensured comprehensive coverage of payment sync processes. Cleaning up outdated files and fixing formatting and URL issues reduced friction for onboarding and day-to-day maintenance. The result is a clearer, auditable reference that supports reliable payment operations and quicker incident resolution.
March 2026
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for cal-itp/data-infra. Delivered major updates to the Payments data pipeline and governance processes, focusing on analytics readiness, data quality, and scalable workflows. The work emphasizes business value through more reliable payments analytics, standardized intake for new GTFS feeds, and maintainable data models.
February 2026
3 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for cal-itp/data-infra. Delivered major updates to the Payments data pipeline and governance processes, focusing on analytics readiness, data quality, and scalable workflows. The work emphasizes business value through more reliable payments analytics, standardized intake for new GTFS feeds, and maintainable data models.
January 2026
13 Commits • 4 Features
Jan 1, 2026January 2026 monthly summary for cal-itp/data-infra. Focused on governance, security, and analytics readiness for payments data. Delivered access controls, ingestion governance for Enghouse, data mart enhancements, and Littlepay/Slorta processing improvements. These efforts reduce risk, improve data quality, and enable reliable downstream analytics for business decisions.
13 Commits • 4 Features
Jan 1, 2026January 2026 monthly summary for cal-itp/data-infra. Focused on governance, security, and analytics readiness for payments data. Delivered access controls, ingestion governance for Enghouse, data mart enhancements, and Littlepay/Slorta processing improvements. These efforts reduce risk, improve data quality, and enable reliable downstream analytics for business decisions.
January 2026
December 2025
4 Commits • 3 Features
Dec 1, 2025December 2025 — cal-itp/data-infra delivered targeted improvements across data freshness, payment data processing, and security. Key outcomes: NTD API data sync now runs weekly on Wednesdays, increasing data freshness; Littlepay sync and parse tasks added for slo-transit and Slorta to enhance payments data processing; deprecation of the bq-transform-svcacct service account and removal of its IAM roles tightened security. These changes improve data reliability for analytics, enable timelier insights, and reduce security risk. Tech stack and practices demonstrated: data pipelines orchestration, ETL parsing enhancements, and infrastructure security hardening.
December 2025
4 Commits • 3 Features
Dec 1, 2025December 2025 — cal-itp/data-infra delivered targeted improvements across data freshness, payment data processing, and security. Key outcomes: NTD API data sync now runs weekly on Wednesdays, increasing data freshness; Littlepay sync and parse tasks added for slo-transit and Slorta to enhance payments data processing; deprecation of the bq-transform-svcacct service account and removal of its IAM roles tightened security. These changes improve data reliability for analytics, enable timelier insights, and reduce security risk. Tech stack and practices demonstrated: data pipelines orchestration, ETL parsing enhancements, and infrastructure security hardening.
November 2025
10 Commits • 2 Features
Nov 1, 2025November 2025 — Delivered API-based modernization for the 2024 data model in cal-itp/data-infra, deprecating legacy Littlepay v1 and XLSX-based paths, updating endpoints, and revamping reporting infrastructure. Strengthened data security for payments with improved row-level access controls. Implemented stability improvements to XLSX ingestion and aligned NTD schema/endpoints for 2024 data, setting up a scalable foundation for 2025 reporting.
10 Commits • 2 Features
Nov 1, 2025November 2025 — Delivered API-based modernization for the 2024 data model in cal-itp/data-infra, deprecating legacy Littlepay v1 and XLSX-based paths, updating endpoints, and revamping reporting infrastructure. Strengthened data security for payments with improved row-level access controls. Implemented stability improvements to XLSX ingestion and aligned NTD schema/endpoints for 2024 data, setting up a scalable foundation for 2025 reporting.
November 2025
October 2025
6 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for cal-itp/data-infra focusing on delivering secure, scalable data ingestion and access for El Dorado Littlepay data. Implemented end-to-end ingestion workflows, RBAC/row-level security, and documentation updates to empower analytics while ensuring compliance and data governance.
October 2025
6 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for cal-itp/data-infra focusing on delivering secure, scalable data ingestion and access for El Dorado Littlepay data. Implemented end-to-end ingestion workflows, RBAC/row-level security, and documentation updates to empower analytics while ensuring compliance and data governance.
September 2025
11 Commits • 4 Features
Sep 1, 2025September 2025 highlights: delivered reliability and configurability improvements for NTD XLSX data ingestion, secured and expanded access to VCTC payments data for reporting, established a robust ridership data warehouse with external tables and documented schemas, and tightened the NTD ingestion pipeline for safety and security datasets. These efforts improve data quality, reliability, governance, and business reporting capabilities across data domains.
11 Commits • 4 Features
Sep 1, 2025September 2025 highlights: delivered reliability and configurability improvements for NTD XLSX data ingestion, secured and expanded access to VCTC payments data for reporting, established a robust ridership data warehouse with external tables and documented schemas, and tightened the NTD ingestion pipeline for safety and security datasets. These efforts improve data quality, reliability, governance, and business reporting capabilities across data domains.
September 2025
August 2025
3 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for cal-itp/data-infra focusing on data accuracy, reliability, and processing efficiency. Delivered three core features with clear business value: historical payment data mapping for precise customer attribution, weekend processing support to reduce backlog, and API-based NTD ridership ingestion with timeout safeguards to improve reliability. Implemented data modeling improvements, scheduled DAG enhancements, and API-first ingestion to minimize hangs and improve reporting accuracy. These efforts increased data freshness, reduced reporting inconsistencies, and demonstrated proficiency in dbt, API integration, and reliability engineering.
August 2025
3 Commits • 3 Features
Aug 1, 2025August 2025 monthly summary for cal-itp/data-infra focusing on data accuracy, reliability, and processing efficiency. Delivered three core features with clear business value: historical payment data mapping for precise customer attribution, weekend processing support to reduce backlog, and API-based NTD ridership ingestion with timeout safeguards to improve reliability. Implemented data modeling improvements, scheduled DAG enhancements, and API-first ingestion to minimize hangs and improve reporting accuracy. These efforts increased data freshness, reduced reporting inconsistencies, and demonstrated proficiency in dbt, API integration, and reliability engineering.
July 2025
2 Commits • 1 Features
Jul 1, 20252025-07 monthly summary: Governance and data reliability improvements in cal-itp/data-infra. Key deliverables include a CODEOWNERS cleanup (no functional changes) and stabilization of data tests through improved key generation and data filtering, enhancing report reliability and team ownership clarity.
2 Commits • 1 Features
Jul 1, 20252025-07 monthly summary: Governance and data reliability improvements in cal-itp/data-infra. Key deliverables include a CODEOWNERS cleanup (no functional changes) and stabilization of data tests through improved key generation and data filtering, enhancing report reliability and team ownership clarity.
July 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 — cal-itp/data-infra: Focused on reliability and usability improvements for NTD data ingestion and mart tables. Delivered a bug fix that standardizes HTTP request headers to resolve NTD scraping failures, and implemented enhancements to NTD mart tables including standardized columns, improved data enrichment, extensive testing across annual tables, and dbt-friendly reformatting of staging tables. The changes jointly improve data availability, quality, and maintainability, enabling more accurate analytics and faster iteration.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 — cal-itp/data-infra: Focused on reliability and usability improvements for NTD data ingestion and mart tables. Delivered a bug fix that standardizes HTTP request headers to resolve NTD scraping failures, and implemented enhancements to NTD mart tables including standardized columns, improved data enrichment, extensive testing across annual tables, and dbt-friendly reformatting of staging tables. The changes jointly improve data availability, quality, and maintainability, enabling more accurate analytics and faster iteration.
May 2025
3 Commits • 2 Features
May 1, 2025In May 2025, delivered foundational data-infra improvements in cal-itp/data-infra focused on data quality, consistency, and ingestion coverage. Key changes include NTD data model enrichment and consolidation, introducing new intermediate tables for agency information and contractual relationships, consolidating data, and removing redundant single-year mart tables to improve analytics readiness. In parallel, expanded Littlepay feed ingestion by adding Airflow DAG configurations for v3 synchronization and parsing, and implemented cutover handling to integrate historical v1 data with v3 across multiple payment-related tables. These efforts reduce data fragmentation, extend participant coverage, and enable faster, more reliable analytics for business decisions.
3 Commits • 2 Features
May 1, 2025In May 2025, delivered foundational data-infra improvements in cal-itp/data-infra focused on data quality, consistency, and ingestion coverage. Key changes include NTD data model enrichment and consolidation, introducing new intermediate tables for agency information and contractual relationships, consolidating data, and removing redundant single-year mart tables to improve analytics readiness. In parallel, expanded Littlepay feed ingestion by adding Airflow DAG configurations for v3 synchronization and parsing, and implemented cutover handling to integrate historical v1 data with v3 across multiple payment-related tables. These efforts reduce data fragmentation, extend participant coverage, and enable faster, more reliable analytics for business decisions.
May 2025
April 2025
12 Commits • 4 Features
Apr 1, 2025April 2025 monthly summary for cal-itp/data-infra focused on delivering scalable data-model improvements, expanding NTD data coverage, and hardening data quality. The work delivered practical value for dashboards, governance, and downstream analytics through runbook clarity, standardization, ingestion expansion, and pipeline resilience.
April 2025
12 Commits • 4 Features
Apr 1, 2025April 2025 monthly summary for cal-itp/data-infra focused on delivering scalable data-model improvements, expanding NTD data coverage, and hardening data quality. The work delivered practical value for dashboards, governance, and downstream analytics through runbook clarity, standardization, ingestion expansion, and pipeline resilience.
March 2025
6 Commits • 2 Features
Mar 1, 2025March 2025: Delivered critical data-infra enhancements for payments ingestion and mapping, strengthening data integrity, governance, and timeliness. Nevada County Connects payments mapping integrated; LittlePay v3 ingestion pipeline deployed with new Airflow DAGs/operators, updated storage/configs, external tables, and data models; and a start-date fix to prevent data gaps. Implemented naming conventions and row-level access controls for LittlePay v3 external tables to improve governance and discoverability. These changes enable more accurate downstream analytics, faster feature iteration, and better business outcomes for payments reporting.
6 Commits • 2 Features
Mar 1, 2025March 2025: Delivered critical data-infra enhancements for payments ingestion and mapping, strengthening data integrity, governance, and timeliness. Nevada County Connects payments mapping integrated; LittlePay v3 ingestion pipeline deployed with new Airflow DAGs/operators, updated storage/configs, external tables, and data models; and a start-date fix to prevent data gaps. Implemented naming conventions and row-level access controls for LittlePay v3 external tables to improve governance and discoverability. These changes enable more accurate downstream analytics, faster feature iteration, and better business outcomes for payments reporting.
March 2025
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for cal-itp/data-infra focusing on delivering data infrastructure for NTD datasets, improving resilience, and standardizing data models to enable faster, more reliable reporting and analytics.
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025 monthly summary for cal-itp/data-infra focusing on delivering data infrastructure for NTD datasets, improving resilience, and standardizing data models to enable faster, more reliable reporting and analytics.
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for cal-itp/data-infra focused on NTD time series data ingestion. Delivered significant enhancements to data ingestion with new sources and external table configurations; fixed reliability issues in external table creation; improved pipeline configurability via YAML, enabling robust processing of capex, operating and capital funding, and service/opex data by mode. Result: faster, more reliable data processing, reduced downtime, and clearer data lineage for analytics and business planning.
4 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for cal-itp/data-infra focused on NTD time series data ingestion. Delivered significant enhancements to data ingestion with new sources and external table configurations; fixed reliability issues in external table creation; improved pipeline configurability via YAML, enabling robust processing of capex, operating and capital funding, and service/opex data by mode. Result: faster, more reliable data processing, reduced downtime, and clearer data lineage for analytics and business planning.
January 2025
December 2024
10 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for cal-itp/data-infra: Delivered major data platform improvements including NTD Data Model and Warehouse Architecture Enhancements, DOT scraping-based data ingestion via external tables, and the NTD 2022 Agency Information Ingestion and Staging pipeline. These efforts standardized schemas, strengthened data quality, and established scalable marts for reporting, enabling more reliable dashboards and governance.
December 2024
10 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for cal-itp/data-infra: Delivered major data platform improvements including NTD Data Model and Warehouse Architecture Enhancements, DOT scraping-based data ingestion via external tables, and the NTD 2022 Agency Information Ingestion and Staging pipeline. These efforts standardized schemas, strengthened data quality, and established scalable marts for reporting, enabling more reliable dashboards and governance.
November 2024
6 Commits • 4 Features
Nov 1, 2024November 2024 summary: Focused on expanding data coverage for SHN and NTD datasets, enabling automated ingestion, and strengthening self-serve analytics for stakeholders. Delivered four features, fixed a flag naming issue, and set foundations for multi-year analytics across the data-infra stack. Key outcomes include improved data completeness and quality, automated pipelines, and enhanced reporting capabilities that unlock faster, data-driven decision making for transit planning and policy analysis.
6 Commits • 4 Features
Nov 1, 2024November 2024 summary: Focused on expanding data coverage for SHN and NTD datasets, enabling automated ingestion, and strengthening self-serve analytics for stakeholders. Delivered four features, fixed a flag naming issue, and set foundations for multi-year analytics across the data-infra stack. Key outcomes include improved data completeness and quality, automated pipelines, and enhanced reporting capabilities that unlock faster, data-driven decision making for transit planning and policy analysis.
November 2024
Activity
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Quality Metrics
Correctness94.0%
Maintainability91.6%
Architecture92.2%
Performance87.2%
AI Usage22.4%
Skills & Technologies
Programming Languages
CSVDockerfileHCLMarkdownPythonSQLShellTerraformTextYAML
Technical Skills
API IntegrationAPI developmentAPI integrationAccess ControlAirflowAirflow DAGsApache AirflowBigQueryCI/CDCloud Data WarehousingCloud IAMCloud IAM ManagementCloud InfrastructureCloud Infrastructure ManagementCloud Services
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline