
Over 18 months, contributed to the catalyst-cooperative/pudl repository by building and optimizing data engineering pipelines, cloud infrastructure, and developer tooling. Delivered over 40 features and numerous reliability improvements, including automated ETL workflows, memory-efficient data extraction using DuckDB, and robust CI/CD deployment with Terraform and GitHub Actions. Enhanced data validation and packaging with dbt and Pandas, while streamlining cloud deployments on Google Cloud Platform. Focused on maintainability through code refactoring, documentation, and test modernization with pytest. Leveraged Python, SQL, and YAML to improve performance, data quality, and developer experience, supporting scalable analytics and secure, automated data distribution workflows.
April 2026 monthly work summary for catalyst-cooperative/pudl. Focus on bug fix, attribution, and contributor experience. Delivered a precise fix to the contributor feedback form link and updated acknowledgments, reinforcing code quality and community collaboration.
April 2026 monthly work summary for catalyst-cooperative/pudl. Focus on bug fix, attribution, and contributor experience. Delivered a precise fix to the contributor feedback form link and updated acknowledgments, reinforcing code quality and community collaboration.
March 2026 monthly summary for catalyst-cooperative/pudl: Delivered automated deployment tooling, standardized skills management, and secure auth configurations. The work improves release reliability, onboarding, and data distribution workflows, while expanding CI/CD automation and testing coverage.
March 2026 monthly summary for catalyst-cooperative/pudl: Delivered automated deployment tooling, standardized skills management, and secure auth configurations. The work improves release reliability, onboarding, and data distribution workflows, while expanding CI/CD automation and testing coverage.
February 2026 monthly summary focused on delivering business value through reliability, efficiency, and streamlined release processes for the PUDL pipeline. Implemented targeted fixes and optimizations that reduce operational risk, improve resource utilization, and accelerate deployment cycles in production.
February 2026 monthly summary focused on delivering business value through reliability, efficiency, and streamlined release processes for the PUDL pipeline. Implemented targeted fixes and optimizations that reduce operational risk, improve resource utilization, and accelerate deployment cycles in production.
January 2026 monthly summary focusing on key accomplishments, business value and technical achievements across pudl-archiver and pudl repos. Highlights include automated FERC data downloads via Playwright to replace API calls for up-to-date datasets; Chromium-based Playwright setup for more reliable scraping and CI; and automated EQR batch job scheduling on the 3rd day of each month via GitHub Actions. A code quality refactor removed unnecessary try/finally blocks to improve readability and reduce maintenance overhead.
January 2026 monthly summary focusing on key accomplishments, business value and technical achievements across pudl-archiver and pudl repos. Highlights include automated FERC data downloads via Playwright to replace API calls for up-to-date datasets; Chromium-based Playwright setup for more reliable scraping and CI; and automated EQR batch job scheduling on the 3rd day of each month via GitHub Actions. A code quality refactor removed unnecessary try/finally blocks to improve readability and reduce maintenance overhead.
December 2025 monthly summary for catalyst-cooperative/pudl: Delivered two high-impact features that improve cloud resource governance and dashboard reliability, and achieved a substantial memory-usage reduction for generator fuel data processing. The work strengthens reliability, scalability, and data throughput for larger workloads while improving code quality and automation.
December 2025 monthly summary for catalyst-cooperative/pudl: Delivered two high-impact features that improve cloud resource governance and dashboard reliability, and achieved a substantial memory-usage reduction for generator fuel data processing. The work strengthens reliability, scalability, and data throughput for larger workloads while improving code quality and automation.
Month 2025-11 -- Pudl delivered two core improvements in development tooling and data extraction that drive faster developer velocity, better data validation, and lower memory footprint in ETL pipelines. Key work focused on: (1) memory profiling enhancements and a Parquet comparison script for local vs nightly outputs, and (2) a DuckDB-based optimization for EIA 930 extraction to reduce memory usage and improve data quality. These efforts were accompanied by targeted documentation updates and PR housekeeping to improve maintainability and onboarding.
Month 2025-11 -- Pudl delivered two core improvements in development tooling and data extraction that drive faster developer velocity, better data validation, and lower memory footprint in ETL pipelines. Key work focused on: (1) memory profiling enhancements and a Parquet comparison script for local vs nightly outputs, and (2) a DuckDB-based optimization for EIA 930 extraction to reduce memory usage and improve data quality. These efforts were accompanied by targeted documentation updates and PR housekeeping to improve maintainability and onboarding.
October 2025: Delivered targeted tooling and a stability fix for Pudl, with measurable business value through improved observability, reduced warnings, and memory-aware asset materialization workflows. Key enhancements include a memory profiling workflow using memray and a import-path fix for Pandera, enabling safer production runs without behavior changes.
October 2025: Delivered targeted tooling and a stability fix for Pudl, with measurable business value through improved observability, reduced warnings, and memory-aware asset materialization workflows. Key enhancements include a memory profiling workflow using memray and a import-path fix for Pandera, enabling safer production runs without behavior changes.
September 2025 monthly summary for catalyst-cooperative/pudl. This period delivered two key features focused on data usage metrics and secure deployment automation, strengthening data observability and CI/CD security. Key actions and outcomes: - Viewer Logs Access for Usage Metrics ETL: Granted a dedicated service account read access to the pudl viewer logs bucket to enable ETL ingestion of viewer log data for usage metrics. This change directly supports reliable metrics collection and downstream analytics. Commit: 01523df930dc94349418bb2650bf485f613afd67 (fix: allow usage metrics ETL to access viewer logs #4607). - GitHub Actions: Enable Workload Identity Federation for PUDL viewer: Introduced a new pudl viewer deployer service account and configured Workload Identity Federation to enable secure access from GitHub Actions to Google Cloud resources, supporting automated deployment and management. Commit: 03db55eaeed5624319c74be9cc9637bafca384c6 (feat: add pudl viewer *deployer* service account + WIF so we can use it from GHA #4613). Overall impact and business value: - Improved accuracy and timeliness of usage metrics through reliable ETL ingestion. - Strengthened security posture and streamlined CI/CD with WIF-enabled deployments, reducing manual steps and risk in automated releases. - Foundations laid for scalable, auditable deployment and data pipelines. Technologies/skills demonstrated: - Cloud IAM and service account management, GCS bucket permissions - Workload Identity Federation and GitHub Actions integration - CI/CD automation for GCP resources - Data pipeline reliability and observability improvements
September 2025 monthly summary for catalyst-cooperative/pudl. This period delivered two key features focused on data usage metrics and secure deployment automation, strengthening data observability and CI/CD security. Key actions and outcomes: - Viewer Logs Access for Usage Metrics ETL: Granted a dedicated service account read access to the pudl viewer logs bucket to enable ETL ingestion of viewer log data for usage metrics. This change directly supports reliable metrics collection and downstream analytics. Commit: 01523df930dc94349418bb2650bf485f613afd67 (fix: allow usage metrics ETL to access viewer logs #4607). - GitHub Actions: Enable Workload Identity Federation for PUDL viewer: Introduced a new pudl viewer deployer service account and configured Workload Identity Federation to enable secure access from GitHub Actions to Google Cloud resources, supporting automated deployment and management. Commit: 03db55eaeed5624319c74be9cc9637bafca384c6 (feat: add pudl viewer *deployer* service account + WIF so we can use it from GHA #4613). Overall impact and business value: - Improved accuracy and timeliness of usage metrics through reliable ETL ingestion. - Strengthened security posture and streamlined CI/CD with WIF-enabled deployments, reducing manual steps and risk in automated releases. - Foundations laid for scalable, auditable deployment and data pipelines. Technologies/skills demonstrated: - Cloud IAM and service account management, GCS bucket permissions - Workload Identity Federation and GitHub Actions integration - CI/CD automation for GCP resources - Data pipeline reliability and observability improvements
2025-08 Monthly Summary — catalyst-cooperative/pudl: Focused on data validation governance and security hygiene. Delivered Data Validation Documentation and Quickstart to clarify how to define and test dbt data validation tests and reorganize resources for clarity. Performed security hygiene by removing an unused pudl_usage_metrics_dashboard_password from Terraform secrets. These efforts improve data quality, reduce operational risk, and streamline onboarding and maintenance. Technologies demonstrated include dbt data validation practices, Terraform secret management, and documentation best practices.
2025-08 Monthly Summary — catalyst-cooperative/pudl: Focused on data validation governance and security hygiene. Delivered Data Validation Documentation and Quickstart to clarify how to define and test dbt data validation tests and reorganize resources for clarity. Performed security hygiene by removing an unused pudl_usage_metrics_dashboard_password from Terraform secrets. These efforts improve data quality, reduce operational risk, and streamline onboarding and maintenance. Technologies demonstrated include dbt data validation practices, Terraform secret management, and documentation best practices.
In July 2025, Pudl delivered a focused set of performance, reliability, and tooling improvements for the catalyst-cooperative/pudl repository. Key outcomes include faster import startup times from lazy initialization, clearer test failure diagnostics, Dagster-to-dbt asset translation enhancements, CI workflow refinements for docs-only changes and merge-group evaluation, improved developer tooling for YAML formatting and diffs, and security hardening via Identity-Aware Proxy (IAP) for the usage metrics dashboard. These efforts reduce onboarding time, improve test signal quality, streamline deployments, strengthen security, and enhance observability. Technologies demonstrated include Python, Dagster, dbt, Terraform, YAML customization, and IAP-based access control.
In July 2025, Pudl delivered a focused set of performance, reliability, and tooling improvements for the catalyst-cooperative/pudl repository. Key outcomes include faster import startup times from lazy initialization, clearer test failure diagnostics, Dagster-to-dbt asset translation enhancements, CI workflow refinements for docs-only changes and merge-group evaluation, improved developer tooling for YAML formatting and diffs, and security hardening via Identity-Aware Proxy (IAP) for the usage metrics dashboard. These efforts reduce onboarding time, improve test signal quality, streamline deployments, strengthen security, and enhance observability. Technologies demonstrated include Python, Dagster, dbt, Terraform, YAML customization, and IAP-based access control.
June 2025, catalyst-cooperative/pudl: Delivered core data-sharing capability and reliability improvements, including an asset materialization/export script to Parquet, enhanced DBT validation with detailed failure context and robust exclusion handling, and alignment of pre-commit tooling with modern linting. These efforts reduce data latency for asset sharing, improve issue diagnosis, and streamline developer workflows.
June 2025, catalyst-cooperative/pudl: Delivered core data-sharing capability and reliability improvements, including an asset materialization/export script to Parquet, enhanced DBT validation with detailed failure context and robust exclusion handling, and alignment of pre-commit tooling with modern linting. These efforts reduce data latency for asset sharing, improve issue diagnosis, and streamline developer workflows.
May 2025 monthly summary for catalyst-cooperative/pudl. Focused on improving runtime efficiency and data correctness through two core deliveries in PudL. The work delivered notable performance and validation improvements with clear business value: faster pipelines and stronger data integrity across partitions.
May 2025 monthly summary for catalyst-cooperative/pudl. Focused on improving runtime efficiency and data correctness through two core deliveries in PudL. The work delivered notable performance and validation improvements with clear business value: faster pipelines and stronger data integrity across partitions.
April 2025: Reliability and data pipeline hardening for pudl. Key deliverables include deployment reliability improvements (Fly.io timeout tuning), migration correctness after module rename (parquet-fe-prototype -> eel_hole), and Zenodo data release robustness (OS-error retries and streaming uploads). Technologies/skills demonstrated include Fly.io config tuning, migration tooling adjustments, retry patterns, and streaming data upload implementations. These changes reduce deployment failures, ensure migrations run against the correct module, and improve resilience of data uploads, enabling faster, safer production operations.
April 2025: Reliability and data pipeline hardening for pudl. Key deliverables include deployment reliability improvements (Fly.io timeout tuning), migration correctness after module rename (parquet-fe-prototype -> eel_hole), and Zenodo data release robustness (OS-error retries and streaming uploads). Technologies/skills demonstrated include Fly.io config tuning, migration tooling adjustments, retry patterns, and streaming data upload implementations. These changes reduce deployment failures, ensure migrations run against the correct module, and improve resilience of data uploads, enabling faster, safer production operations.
March 2025: Focused on migration readiness, scalable deployment, and stability. Delivered PUDL Viewer adoption messaging and comprehensive docs, provisioned the metrics dashboard infrastructure on Cloud Run, resolved a production memory spike by lowering concurrency, and updated GitHub issue templates to reflect platform deprecations. These efforts improved the migration path for users, accelerated dashboard delivery, enhanced reliability under load, and reduced contributor friction.
March 2025: Focused on migration readiness, scalable deployment, and stability. Delivered PUDL Viewer adoption messaging and comprehensive docs, provisioned the metrics dashboard infrastructure on Cloud Run, resolved a production memory spike by lowering concurrency, and updated GitHub issue templates to reflect platform deprecations. These efforts improved the migration path for users, accelerated dashboard delivery, enhanced reliability under load, and reduced contributor friction.
February 2025: Delivered reliability, data packaging, and performance improvements for the pudl repository. Key outcomes include dedicated logging and runtime improvements for the PUDL viewer, standard metadata for Parquet outputs, and higher concurrency to reduce 502 errors, contributing to more reliable data access and faster data releases.
February 2025: Delivered reliability, data packaging, and performance improvements for the pudl repository. Key outcomes include dedicated logging and runtime improvements for the PUDL viewer, standard metadata for Parquet outputs, and higher concurrency to reduce 502 errors, contributing to more reliable data access and faster data releases.
January 2025 monthly summary for catalyst-cooperative/pudl focused on strengthening test reliability and maintainability. Key effort: migrating unit tests from unittest to pytest, improving test independence, readability, and alignment with modern testing conventions. This lays groundwork for faster feedback and easier future refactors. No major bugs fixed this month; efforts emphasized quality improvements through test modernization and enhanced mocking. Overall, these changes increase CI confidence and support safer feature development.
January 2025 monthly summary for catalyst-cooperative/pudl focused on strengthening test reliability and maintainability. Key effort: migrating unit tests from unittest to pytest, improving test independence, readability, and alignment with modern testing conventions. This lays groundwork for faster feedback and easier future refactors. No major bugs fixed this month; efforts emphasized quality improvements through test modernization and enhanced mocking. Overall, these changes increase CI confidence and support safer feature development.
December 2024 monthly summary for catalyst-cooperative/pudl: Three major deliverables focused on data quality, testability, and CI/CD automation. These changes enhance reliability for downstream consumers, enable scalable ETL workflows, and modernize CI infrastructure.
December 2024 monthly summary for catalyst-cooperative/pudl: Three major deliverables focused on data quality, testability, and CI/CD automation. These changes enhance reliability for downstream consumers, enable scalable ETL workflows, and modernize CI infrastructure.
Monthly summary for 2024-11 focused on Pudl's EIA-176 data processing work. Prioritized stability and reliability while advancing data transformation capabilities. Key actions included reverting a previous EIA-176 wide-table change to address incomplete integration, and subsequently implementing a robust transformation that converts EIA-176 data into a wide-table format with clear separation of company-specific and aggregate data. The effort included developing data extraction and transformation modules and adding unit tests to validate processing and totals. These activities improve data quality, consistency, and readiness for downstream analytics and reporting.
Monthly summary for 2024-11 focused on Pudl's EIA-176 data processing work. Prioritized stability and reliability while advancing data transformation capabilities. Key actions included reverting a previous EIA-176 wide-table change to address incomplete integration, and subsequently implementing a robust transformation that converts EIA-176 data into a wide-table format with clear separation of company-specific and aggregate data. The effort included developing data extraction and transformation modules and adding unit tests to validate processing and totals. These activities improve data quality, consistency, and readiness for downstream analytics and reporting.

Overview of all repositories you've contributed to across your timeline