cal-itp/data-infra
Oct 2024 – Apr 2026
19 Months active
Languages Used
PythonSQLYAMLJavaMarkdownyamlHCLTerraform
Technical Skills
Backend DevelopmentConcurrencyData EngineeringData ModelingData WarehousingETL
Erika
PROFILE
Erika
Erika contributed to the cal-itp/data-infra repository by engineering robust data pipelines and infrastructure for transit and payments analytics. She designed and maintained ETL workflows using Python, SQL, and dbt, focusing on scalable ingestion, data modeling, and validation for GTFS and NTD datasets. Erika modernized Airflow orchestration, improved CI/CD automation, and strengthened cloud security and IAM practices on Google Cloud Platform. Her work included building audit tables, optimizing real-time data processing, and integrating BI tools like Metabase for daily reporting. Erika’s solutions emphasized reliability, maintainability, and governance, resulting in transparent, high-quality data infrastructure supporting analytics and operational monitoring.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
180Total
Bugs
23
Commits
180
Features
61
Lines of code
876,579
Activity Months19
Your Network
19 peopleSame Organization
@ministryofvelocity.com2
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026Monthly summary for 2026-04 for cal-itp/data-infra: Delivered the Audit Payments Table and Metabase-based payment audit reporting to improve transparency and monitoring of Littlepay sync results. Focused on feature delivery and reliability; no major bugs fixed this month. Key outcomes include a new data visualization, BI integration, and daily audit runs enabling proactive insights and data governance. Demonstrated strong data modeling, SQL, and BI tooling skills, contributing to business value through improved monitoring and faster issue detection.
1 Commits • 1 Features
Apr 1, 2026Monthly summary for 2026-04 for cal-itp/data-infra: Delivered the Audit Payments Table and Metabase-based payment audit reporting to improve transparency and monitoring of Littlepay sync results. Focused on feature delivery and reliability; no major bugs fixed this month. Key outcomes include a new data visualization, BI integration, and daily audit runs enabling proactive insights and data governance. Demonstrated strong data modeling, SQL, and BI tooling skills, contributing to business value through improved monitoring and faster issue detection.
April 2026
March 2026
10 Commits • 1 Features
Mar 1, 2026March 2026: Delivered stability, modernization, and measurable business value for cal-itp/data-infra. Implemented robust GTFS empty-data handling, completed major infrastructure upgrades and configuration modernization, and migrated core tooling to uv with workflow/documentation improvements, resulting in more reliable data pipelines and faster contributor onboarding.
March 2026
10 Commits • 1 Features
Mar 1, 2026March 2026: Delivered stability, modernization, and measurable business value for cal-itp/data-infra. Implemented robust GTFS empty-data handling, completed major infrastructure upgrades and configuration modernization, and migrated core tooling to uv with workflow/documentation improvements, resulting in more reliable data pipelines and faster contributor onboarding.
February 2026
11 Commits • 4 Features
Feb 1, 2026February 2026 — cal-itp/data-infra delivered a set of reliability and governance improvements across GTFS data ingestion, Airflow orchestration, and build hygiene. The month focused on enabling reliable, timely GTFS data availability for downstream workflows, clearer model sequencing, and stronger maintainability of the data-infra stack.
11 Commits • 4 Features
Feb 1, 2026February 2026 — cal-itp/data-infra delivered a set of reliability and governance improvements across GTFS data ingestion, Airflow orchestration, and build hygiene. The month focused on enabling reliable, timely GTFS data availability for downstream workflows, clearer model sequencing, and stronger maintainability of the data-infra stack.
February 2026
January 2026
19 Commits • 3 Features
Jan 1, 2026January 2026 (cal-itp/data-infra) delivered a comprehensive set of GTFS data pipeline improvements, reinforced CI/CD/infrastructure, and enhanced documentation. The work increased data reliability, timeliness, and visibility for downstream dashboards and business users, while enabling faster deployments and easier debugging across the GTFS workflow.
January 2026
19 Commits • 3 Features
Jan 1, 2026January 2026 (cal-itp/data-infra) delivered a comprehensive set of GTFS data pipeline improvements, reinforced CI/CD/infrastructure, and enhanced documentation. The work increased data reliability, timeliness, and visibility for downstream dashboards and business users, while enabling faster deployments and easier debugging across the GTFS workflow.
December 2025
2 Commits • 2 Features
Dec 1, 2025Month 2025-12 – For cal-itp/data-infra, delivered targeted optimization of data refresh and GTFS workflows to improve speed, reliability, and governance. Key outcomes include selective full refresh with downstream model handling and Metabase sync moved to a dedicated job, plus comprehensive GTFS data quality audits, enhanced documentation, and reliability improvements across the pipeline. These changes reduce downstream processing, shorten data freshness cycles, and improve observability and developer onboarding.
2 Commits • 2 Features
Dec 1, 2025Month 2025-12 – For cal-itp/data-infra, delivered targeted optimization of data refresh and GTFS workflows to improve speed, reliability, and governance. Key outcomes include selective full refresh with downstream model handling and Metabase sync moved to a dedicated job, plus comprehensive GTFS data quality audits, enhanced documentation, and reliability improvements across the pipeline. These changes reduce downstream processing, shorten data freshness cycles, and improve observability and developer onboarding.
December 2025
November 2025
13 Commits • 6 Features
Nov 1, 2025November 2025 focused on delivering reliable, secure, and scalable data infrastructure improvements in cal-itp/data-infra, with emphasis on alerting, data model support, validation, and workflow hygiene. Key features and fixes were implemented to improve incident response, data freshness, governance, and developer productivity, while reducing toil and operational risk.
November 2025
13 Commits • 6 Features
Nov 1, 2025November 2025 focused on delivering reliable, secure, and scalable data infrastructure improvements in cal-itp/data-infra, with emphasis on alerting, data model support, validation, and workflow hygiene. Key features and fixes were implemented to improve incident response, data freshness, governance, and developer productivity, while reducing toil and operational risk.
October 2025
14 Commits • 4 Features
Oct 1, 2025October 2025 was centered on strengthening data quality, reliability, and developer velocity in cal-itp/data-infra. Key features delivered include Kuba Device Data Model and Schema Enhancements (improved timestamp handling and external table schema) and Open Data Portal DAGs Testing and Stability (added tests and stability tweaks to prevent test failures from blocking DAG runs). Major fixes include Data Synchronization and Storage Region Fixes (correct object_path ordering and bucket region) and Alerting/Notification Workflow Improvements for Data Sync (refined failure alerts and policy handling). Codebase cleanup and operational defaults (removing obsolete GTFS-RT code and setting Airflow catchup to False) capped the month. Documentation, tooling, and security updates complemented the work to improve developer experience and security posture. Business value: more accurate analytics, reliable open data publications, faster incident response, and safer, more maintainable pipelines.
14 Commits • 4 Features
Oct 1, 2025October 2025 was centered on strengthening data quality, reliability, and developer velocity in cal-itp/data-infra. Key features delivered include Kuba Device Data Model and Schema Enhancements (improved timestamp handling and external table schema) and Open Data Portal DAGs Testing and Stability (added tests and stability tweaks to prevent test failures from blocking DAG runs). Major fixes include Data Synchronization and Storage Region Fixes (correct object_path ordering and bucket region) and Alerting/Notification Workflow Improvements for Data Sync (refined failure alerts and policy handling). Codebase cleanup and operational defaults (removing obsolete GTFS-RT code and setting Airflow catchup to False) capped the month. Documentation, tooling, and security updates complemented the work to improve developer experience and security posture. Business value: more accurate analytics, reliable open data publications, faster incident response, and safer, more maintainable pipelines.
October 2025
September 2025
16 Commits • 7 Features
Sep 1, 2025Month: 2025-09 | Delivered across GTFS-RT, data validation, numeric data handling, and infra reliability. Key outcomes include improved performance, stronger data quality, and safer, more scalable pipelines that reduce time-to-results and operational risk for downstream services.
September 2025
16 Commits • 7 Features
Sep 1, 2025Month: 2025-09 | Delivered across GTFS-RT, data validation, numeric data handling, and infra reliability. Key outcomes include improved performance, stronger data quality, and safer, more scalable pipelines that reduce time-to-results and operational risk for downstream services.
August 2025
6 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for cal-itp/data-infra: Delivered core data infrastructure enhancements focused on scalable data ingestion, reliability, and Terraform/Composer stability. Key outcomes include a new Kuba device properties data model with staging and mart layers to enable structured storage and analysis of device data, substantial GTFS pipeline reliability and capacity improvements, and a Composer memory range fix to ensure stable deployments.
6 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for cal-itp/data-infra: Delivered core data infrastructure enhancements focused on scalable data ingestion, reliability, and Terraform/Composer stability. Key outcomes include a new Kuba device properties data model with staging and mart layers to enable structured storage and analysis of device data, substantial GTFS pipeline reliability and capacity improvements, and a Composer memory range fix to ensure stable deployments.
August 2025
July 2025
20 Commits • 9 Features
Jul 1, 2025July 2025 highlights: The data-infra team delivered reliable deployment workflows, strengthened data security practices, and improved data production performance. Public access to dbt docs was enabled, GTFS Real-time data pipelines were optimized for speed and reliability, and dbt deployment and DAG orchestration were enhanced with on-demand capabilities and better scheduling. These changes reduce risk, improve data quality, and enable faster delivery to downstream users.
July 2025
20 Commits • 9 Features
Jul 1, 2025July 2025 highlights: The data-infra team delivered reliable deployment workflows, strengthened data security practices, and improved data production performance. Public access to dbt docs was enabled, GTFS Real-time data pipelines were optimized for speed and reliability, and dbt deployment and DAG orchestration were enhanced with on-demand capabilities and better scheduling. These changes reduce risk, improve data quality, and enable faster delivery to downstream users.
June 2025
4 Commits • 3 Features
Jun 1, 2025June 2025 (2025-06) — Data Infra: Implemented SSO-enabled Secret Manager access for DDS Analysts/Admins to enable Airflow with SSO logins, migrated dbt docs deployment from Netlify to Google Cloud Storage for reliable, environment-driven deployments, and activated daily execution of payments Airflow DAGs with related improvements. These changes strengthen security, streamline deployments, and improve reliability of data pipelines and reporting.
4 Commits • 3 Features
Jun 1, 2025June 2025 (2025-06) — Data Infra: Implemented SSO-enabled Secret Manager access for DDS Analysts/Admins to enable Airflow with SSO logins, migrated dbt docs deployment from Netlify to Google Cloud Storage for reliable, environment-driven deployments, and activated daily execution of payments Airflow DAGs with related improvements. These changes strengthen security, streamline deployments, and improve reliability of data pipelines and reporting.
June 2025
May 2025
8 Commits • 3 Features
May 1, 2025May 2025: Delivered substantial improvements to the data-infra deployment and governance capabilities for cal-itp/data-infra. Focused on stabilizing Metabase/DBT deployment with robust synchronization, strengthening IAM and access controls across staging and production, and updating CI/CD workflow documentation to improve onboarding and maintenance. These efforts reduced deployment fragility, improved data access governance, and provided clearer operational visibility for data-infra across environments.
May 2025
8 Commits • 3 Features
May 1, 2025May 2025: Delivered substantial improvements to the data-infra deployment and governance capabilities for cal-itp/data-infra. Focused on stabilizing Metabase/DBT deployment with robust synchronization, strengthening IAM and access controls across staging and production, and updating CI/CD workflow documentation to improve onboarding and maintenance. These efforts reduced deployment fragility, improved data access governance, and provided clearer operational visibility for data-infra across environments.
April 2025
12 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for cal-itp/data-infra: key outcomes include (1) Metabase synchronization aligned with dbt model changes and documentation updates to ensure Metabase dashboards accurately reflect GTFS and transit data models; (2) provisioning of LittlePay data storage with lifecycle-driven governance, plus CDN and staging infrastructure to support data docs; (3) CI/CD and deployment automation enhancements for Airflow, DBT, and infra, with tightened security and artifact management; (4) targeted bug fix and performance testing enablement in the Vehicle Locations data model to improve data reliability and testing coverage.
12 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for cal-itp/data-infra: key outcomes include (1) Metabase synchronization aligned with dbt model changes and documentation updates to ensure Metabase dashboards accurately reflect GTFS and transit data models; (2) provisioning of LittlePay data storage with lifecycle-driven governance, plus CDN and staging infrastructure to support data docs; (3) CI/CD and deployment automation enhancements for Airflow, DBT, and infra, with tightened security and artifact management; (4) targeted bug fix and performance testing enablement in the Vehicle Locations data model to improve data reliability and testing coverage.
April 2025
March 2025
4 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for cal-itp/data-infra: Delivered ingestion and schema reliability improvements, CI/CD stabilization, and documentation updates. Focused on business value through streamlined data ingestion, safer data schemas, and maintainable infrastructure.
March 2025
4 Commits • 2 Features
Mar 1, 2025March 2025 monthly summary for cal-itp/data-infra: Delivered ingestion and schema reliability improvements, CI/CD stabilization, and documentation updates. Focused on business value through streamlined data ingestion, safer data schemas, and maintainable infrastructure.
February 2025
8 Commits • 2 Features
Feb 1, 2025February 2025 — cal-itp/data-infra: Focused on reliability, quality, and modernization of NTD data ingestion and documentation. Delivered user-facing documentation improvements, aligned test suites with updated schemas, corrected ETL data types and validations, and modernized ingestion by adopting year-specific staging tables and removing manual scraping and legacy tooling. These changes enhance data accuracy, reduce test fragility, and streamline production workflows, enabling faster analytics and safer deployments.
8 Commits • 2 Features
Feb 1, 2025February 2025 — cal-itp/data-infra: Focused on reliability, quality, and modernization of NTD data ingestion and documentation. Delivered user-facing documentation improvements, aligned test suites with updated schemas, corrected ETL data types and validations, and modernized ingestion by adopting year-specific staging tables and removing manual scraping and legacy tooling. These changes enhance data accuracy, reduce test fragility, and streamline production workflows, enabling faster analytics and safer deployments.
February 2025
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025: Key governance and maintenance improvements for cal-itp/data-infra. Delivered data governance metadata labeling for DBT models and seeds to enhance metadata quality, governance, and discoverability. Cleaned up deprecated mart_ad_hoc dataset configuration from the dbt project to simplify maintenance and reduce configuration drift. These changes improve data catalog accuracy, accelerate analytics workflows, and lower future maintenance costs. Technologies demonstrated include DBT, metadata labeling, governance, repository hygiene, and configuration management.
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025: Key governance and maintenance improvements for cal-itp/data-infra. Delivered data governance metadata labeling for DBT models and seeds to enhance metadata quality, governance, and discoverability. Cleaned up deprecated mart_ad_hoc dataset configuration from the dbt project to simplify maintenance and reduce configuration drift. These changes improve data catalog accuracy, accelerate analytics workflows, and lower future maintenance costs. Technologies demonstrated include DBT, metadata labeling, governance, repository hygiene, and configuration management.
December 2024
7 Commits • 2 Features
Dec 1, 2024December 2024 — Data Infra monthly summary for cal-itp/data-infra Key features delivered: - NTD model documentation improvements and tests: moved common descriptions to a docs file, added tests for specific fields, renamed docs file, and added column descriptions to an external table. Commit: b1b28a08d481e6b2f277862003ff449ab7373159. - PR Template Update for DBT Tests: added command to test changes to dbt models during CI (poetry run dbt test -s CHANGED_MODEL alongside dbt run). Commit: 25a223c2c7ba78df6157facc46015779122ae0e8. Major bugs fixed: - Annual Agency Information: Column Creation Order: enforced creation order of new columns (division_department and state_parent_ntd_id) on the configuration file to prevent creation issues. Commit: 53aa319109a1cfde85149b09cf4b4ed5c2a7691b. - GTFS Key Uniqueness in Calendar Dates: updated _gtfs_key generation to include exception_type to ensure uniqueness. Commit: c5ec441e29c45f98752625d99f57f90691a0fbad. - NTD Annual Reporting Year Field Integer Type: adjusted schema to treat year as integer in mart and staging models. Commit: 81a4a8dd236eefd305d9e0b0ddaf3ef117d87021. - NTD Test Validation Adjustments (Nullability): relaxed not_null tests for NTD by allowing nulls in time_period staging and fct_annual_service_modes. Commits: 9201a1e1970dd8ff1d1de264655c6a8cd70ad62f; b70cfb520e14c97ebf29bff38d66a4937adc81d3. Overall impact and accomplishments: - Data quality and reliability of annual and calendar dimensions are improved, reducing downstream failures due to column order, key collisions, and type mismatches. CI validation for dbt changes is more robust, and documentation quality is higher, enabling faster onboarding and reduced ambiguity for model behavior. Technologies and skills demonstrated: - SQL, dbt modeling, YAML configuration, documentation, unit/test validation, and CI/CD readiness; strong emphasis on data correctness, schema typing, and maintainable docs.
7 Commits • 2 Features
Dec 1, 2024December 2024 — Data Infra monthly summary for cal-itp/data-infra Key features delivered: - NTD model documentation improvements and tests: moved common descriptions to a docs file, added tests for specific fields, renamed docs file, and added column descriptions to an external table. Commit: b1b28a08d481e6b2f277862003ff449ab7373159. - PR Template Update for DBT Tests: added command to test changes to dbt models during CI (poetry run dbt test -s CHANGED_MODEL alongside dbt run). Commit: 25a223c2c7ba78df6157facc46015779122ae0e8. Major bugs fixed: - Annual Agency Information: Column Creation Order: enforced creation order of new columns (division_department and state_parent_ntd_id) on the configuration file to prevent creation issues. Commit: 53aa319109a1cfde85149b09cf4b4ed5c2a7691b. - GTFS Key Uniqueness in Calendar Dates: updated _gtfs_key generation to include exception_type to ensure uniqueness. Commit: c5ec441e29c45f98752625d99f57f90691a0fbad. - NTD Annual Reporting Year Field Integer Type: adjusted schema to treat year as integer in mart and staging models. Commit: 81a4a8dd236eefd305d9e0b0ddaf3ef117d87021. - NTD Test Validation Adjustments (Nullability): relaxed not_null tests for NTD by allowing nulls in time_period staging and fct_annual_service_modes. Commits: 9201a1e1970dd8ff1d1de264655c6a8cd70ad62f; b70cfb520e14c97ebf29bff38d66a4937adc81d3. Overall impact and accomplishments: - Data quality and reliability of annual and calendar dimensions are improved, reducing downstream failures due to column order, key collisions, and type mismatches. CI validation for dbt changes is more robust, and documentation quality is higher, enabling faster onboarding and reduced ambiguity for model behavior. Technologies and skills demonstrated: - SQL, dbt modeling, YAML configuration, documentation, unit/test validation, and CI/CD readiness; strong emphasis on data correctness, schema typing, and maintainable docs.
December 2024
November 2024
16 Commits • 3 Features
Nov 1, 2024In 2024-11, delivered major NTD data-infra improvements in the cal-itp/data-infra repository, focusing on data model standardization, ingestion reliability, and quality assurance. Key outcomes include: standardized annual agency information model with new fields and renamed tables; rebuilt monthly ridership data model with cleaned schema and updated docs/tests; weekly ingestion scheduling with Airflow-backed processing notes; and robust data quality/CI improvements that increased data reliability and reduced pipeline risk. These changes enable more accurate reporting and scalable analytics for NTD datasets across agencies.
November 2024
16 Commits • 3 Features
Nov 1, 2024In 2024-11, delivered major NTD data-infra improvements in the cal-itp/data-infra repository, focusing on data model standardization, ingestion reliability, and quality assurance. Key outcomes include: standardized annual agency information model with new fields and renamed tables; rebuilt monthly ridership data model with cleaned schema and updated docs/tests; weekly ingestion scheduling with Airflow-backed processing notes; and robust data quality/CI improvements that increased data reliability and reduced pipeline risk. These changes enable more accurate reporting and scalable analytics for NTD datasets across agencies.
October 2024
6 Commits • 3 Features
Oct 1, 2024In Oct 2024, delivered substantial enhancements to the data-infra pipeline that improve reliability, governance, and maintainability of transit data. Business value includes more trustworthy real-time GTFS data, robust data quality controls, scalable data models for the National Transit Database, and a streamlined annual ingestion workflow that eliminates legacy scraping and reduces maintenance burden.
6 Commits • 3 Features
Oct 1, 2024In Oct 2024, delivered substantial enhancements to the data-infra pipeline that improve reliability, governance, and maintainability of transit data. Business value includes more trustworthy real-time GTFS data, robust data quality controls, scalable data models for the National Transit Database, and a streamlined annual ingestion workflow that eliminates legacy scraping and reduces maintenance burden.
October 2024
Activity
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Quality Metrics
Correctness91.2%
Maintainability90.2%
Architecture88.8%
Performance85.6%
AI Usage21.8%
Skills & Technologies
Programming Languages
BashDockerfileHCLJavaMarkdownPythonSQLShellTerraformYAML
Technical Skills
API IntegrationAPI integrationAirflowApache AirflowBackend DevelopmentBigQueryCI/CDCloudCloud ComputingCloud ConfigurationCloud DeploymentCloud EngineeringCloud IAMCloud InfrastructureCloud Security
Repositories Contributed To
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