catalyst-cooperative/pudl-archiver
Dec 2025 – Jan 2026
2 Months active
Languages Used
PythonYAML
Technical Skills
API integrationasynchronous programmingdata archivingdata processingdata scrapingweb scraping
Katie Lamb
PROFILE
Katie Lamb
Katherine Lamb enhanced the catalyst-cooperative/pudl-archiver repository by developing and refining the FERC Central Identifier (CID) Data Archiver, enabling automated download and management of CID resources in both CSV and XLSX formats. She implemented API integration and asynchronous programming in Python to streamline data retrieval from the FERC interactive data page, adding last-updated date extraction to improve data reliability. Katherine further integrated the ferccid dataset into the archiving workflow, introduced partitioned data structures, and standardized file naming conventions. Her work improved data accessibility, governance, and reproducibility, supporting more scalable analytics and robust workflow automation for CID-related datasets.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
310
Activity Months2
Your Network
20 peopleSame Organization
@catalyst.coop8
Shared Repositories
12
Work History
January 2026
3 Commits • 1 Features
Jan 1, 2026January 2026 — Monthly summary for catalyst-cooperative/pudl-archiver 1) Key features delivered - FERC CID Archiver Enhancements: integrated the ferccid dataset into the archiving workflow, added data structure partitions for FERC CID data and its data dictionary, and standardized the naming of generated data table files to improve dataset management and usability. 2) Major bugs fixed - No major bugs reported this month. Ongoing maintenance addressed any minor issues as they arose. 3) Overall impact and accomplishments - Strengthened data governance and usability for FERC CID datasets, enabling more scalable archiving and faster analytics. Partitioning improves query performance and data organization; standardized file naming reduces confusion and supports reproducible analytics and compliance reporting. 4) Technologies/skills demonstrated - Python-based data engineering, dataset partitioning, naming conventions, integration of new datasets into pipelines, and data governance practices that improve data discoverability and reproducibility.
3 Commits • 1 Features
Jan 1, 2026January 2026 — Monthly summary for catalyst-cooperative/pudl-archiver 1) Key features delivered - FERC CID Archiver Enhancements: integrated the ferccid dataset into the archiving workflow, added data structure partitions for FERC CID data and its data dictionary, and standardized the naming of generated data table files to improve dataset management and usability. 2) Major bugs fixed - No major bugs reported this month. Ongoing maintenance addressed any minor issues as they arose. 3) Overall impact and accomplishments - Strengthened data governance and usability for FERC CID datasets, enabling more scalable archiving and faster analytics. Partitioning improves query performance and data organization; standardized file naming reduces confusion and supports reproducible analytics and compliance reporting. 4) Technologies/skills demonstrated - Python-based data engineering, dataset partitioning, naming conventions, integration of new datasets into pipelines, and data governance practices that improve data discoverability and reproducibility.
January 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for catalyst-cooperative/pudl-archiver. Delivered enhancements to the CID Data Archiver, enabling download and management of CID resources in CSV and XLSX formats; extended data retrieval to use the FERC interactive data page via API; and added last-updated date extraction to improve data freshness and reliability. Focused on business value by improving data accessibility for CID datasets and strengthening the reliability of CID-related workflows.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for catalyst-cooperative/pudl-archiver. Delivered enhancements to the CID Data Archiver, enabling download and management of CID resources in CSV and XLSX formats; extended data retrieval to use the FERC interactive data page via API; and added last-updated date extraction to improve data freshness and reliability. Focused on business value by improving data accessibility for CID datasets and strengthening the reliability of CID-related workflows.
Activity
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Quality Metrics
Correctness100.0%
Maintainability92.0%
Architecture96.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
API integrationPythonPython programmingPython scriptingasynchronous programmingdata archivingdata managementdata processingdata scrapingsoftware developmentweb scrapingworkflow automation
Repositories Contributed To
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