March 2026 (2026-03) focused on strengthening data quality and validation in pudl to deliver reliable analytics and safer data pipelines. Key outcomes include stabilizing EQR data type handling and null-value constraints for product_name metadata, and delivering robust schema validation via DuckDB-backed tables with Polars-based validation. These changes reduce data quality risks in downstream analytics and improve performance for large/geometry-type datasets. Notable work includes coordinated commits to fix EQR columns and document product_name codes, and to polarize schema checks for broader table support, along with comprehensive release notes and docs updates.

February 2026: Catalyst Pudl delivered significant DuckDB-based enhancements to EIA-930 data processing, updated to include the latest year’s data, and expanded tooling and documentation. The work improves data processing speed, accuracy, and maintainability, while delivering a robust foundation for future EIA-930 data transformations.

January 2026 monthly summary for pudl and pudl-archiver. Delivered cloud-ready data ingestion and packaging enhancements, focusing on reliability, scalability, and developer usability. Key work spanned three main areas: (1) end-to-end FERC EQR Data ETL Pipeline with Cloud Deployment; (2) Datapackage Output Enhancements for Partitioned Assets; (3) Archiver CLI modernization with a standalone retry-run command. These efforts improve data accuracy, cloud deployment coverage, and operational resilience, while expanding testing, documentation, and workflow automation.

December 2025 performance highlights: Delivered the initial FERC EQR ETL workflow in pudl using DuckDB for extraction and transformation, enabling efficient multi-asset processing with improved memory management and clearer output. Implemented generic CSV extraction and Parquet transformation resources and refactored utilities/dependencies to support the ETL workflow, resulting in faster, more scalable data processing. Centralized data integrity improvements by applying Polars data types to vcerare outputs and enforcing IO manager schema, strengthening downstream analytics. Fixed dataset archiving logging to accurately reflect ignored file size increases in partitioned datasets, improving observability and traceability of archival activity. Achieved memory/performance enhancements across the vcerare path, including removal of the DuckDB memory limit to support larger datasets. Overall, these changes improved reliability, observability, and business value by enabling timely, accurate EQR data and safer archival workflows.

Month: 2025-11 — This period delivered measurable business value through data quality improvements, performance optimizations, and archiving reliability across pudl and pudl-archiver. Key work included a new data bug reporting workflow, Polars-based ETL performance/memory optimizations, substantial memory reductions for flag timeseries, and enhanced EQR archiving reliability. These changes reduce end-user data defects, accelerate data pipelines, cut operating memory, and improve maintainability with better logging and clearer data governance.

Month: 2025-10. Delivered two targeted fixes across pudl and pudl-archiver to stabilize data archiving workflows and scheduled deposition behavior. Key outcomes include enabling archiver operations in GCS by correcting service account permissions and introducing a controlled deposition path for scheduled runs via DEPOSITION_PATH. These efforts reduce operational risk, improve reliability of automated archiving, and strengthen security posture by aligning permissions with required capabilities. Highlights move the product closer to robust, predictable data ingestion and archival.

September 2025 focused on strengthening the pudl-archiver’s reliability, expanding storage flexibility, and enabling automated archival workflows, delivering measurable business value through improved data availability and reduced manual effort.

August 2025 monthly summary: Delivered stability and reliability improvements across Pudl and Pudl-Archiver, expanding data archival capabilities and strengthening CI. Key outcomes include a robust DataFrame serialization path for PudlResourceDescriptor, centralized logging and test output improvements, secure CI with Workload Identity Federation for pudl-archiver, stabilized tests by relaxing imputation tolerances, and dynamic URL-based archival for FERC EQR data (2013 onwards).

July 2025 monthly highlights: Delivered critical data quality correction in pudl ETL and implemented stability-focused enhancements in the FERC XBRL Archiver, strengthening data reliability and archival integrity for regulatory reporting and downstream analytics.

Concise monthly summary for May 2025 focusing on key accomplishments, business impact, and technical excellence in the pudl repository.

April 2025 monthly summary for catalyst-cooperative Pudl and Pudl-Archiver. Focused on delivering data-quality improvements, scalable data archiving, and reliability across energy-data workflows. Key business value delivered through enriched EIA-930 imputation, aggregation capabilities, and streamlined SEC 10-K archiving with Delta Lake integration.

Concise monthly summary for March 2025 focusing on business value and technical achievements in the pudl repository. Delivered a major enhancement to time series cleaning and imputation, improving data quality for subregion demand data and stabilizing downstream assets across pipelines.

February 2025 monthly summary for catalyst-cooperative/pudl. Delivered two major capabilities that directly enhance data coverage and pipeline reliability, with a strong focus on business value and developer productivity. Key features delivered: SEC 10-K Filing Metadata Integration into the PUDL data model and a comprehensive DBT project setup and tooling overhaul. Major fixes include dependency cleanup and schema/migration refinements to support the new data model. Overall impact: expanded analytics reach for SEC filings, improved data quality and maintainability, and smoother deployment and onboarding. Technologies demonstrated: Alembic migrations, dbt, Dagster, gRPCio, GDAL, Docker, and Python refactoring.

January 2025: Delivered SEC10K data distribution for the pudl repository by integrating new PUDL models and infrastructure, enabling scalable, Parquet-based data assets and a dedicated viewer. Implemented Parquet storage standardization, SEC10K naming consistency, and updated asset factory to use parquet_io_manager. Disabled create_database_schema for resources to fit managed environments. This work establishes a client-ready data distribution workflow and foundational viewer access, with cloud/resource configurations prepared for production use.

December 2024 performance summary for pudl-archiver and pudl focused on delivering robust data deposition capabilities, standardized metadata, and robust validation. Key outcomes include FSSpec Depositor Integration with enhanced CLI, ISO 8601 timestamps for frictionless Data Package, and dynamic row-count validation for VCERare assets, along with improved tests and documentation that drive reliability and usability across data workflows.

Performance summary for 2024-11: Delivered significant data archiving, safety, and performance improvements across pudl-archiver and pudl. Key features and reliability enhancements, along with clear documentation and CLI usability gains, position us for more robust data workflows and easier onboarding.

October 2024 — Delivered significant enhancements to pudl-archiver in catalyst-cooperative. Implemented MECS Archiver with robust URL handling and enhanced logging for traceability; added a flexible storage backend via fsspec to support local and GCS deployments and multiple depositors; and refactored MD5 checksum deduplication to remove duplicate implementations, improving maintainability and reliability. These changes increase data reliability, deployment flexibility, and operational efficiency, laying groundwork for scalable archiving and easier future integrations.