
Worked on the gridstatus/gridstatus repository to expand NYISO data coverage through 2024 and 2025, focusing on enhancing data completeness and reliability for business analytics. Updated capacity data URLs and adapted data processing logic to accommodate new data schemas, ensuring year-over-year comparability of NYISO metrics. Leveraged Python and SQL to build and adjust data ingestion pipelines, while integrating robust API connections and automating tests to cover the expanded datasets. Emphasized data engineering best practices and continuous integration, with all changes passing CI tests. The work prioritized data-source expansion and test coverage, with no major bugs reported during the development period.
January 2025 monthly summary for gridstatus/gridstatus: Focused on expanding NYISO data coverage to 2024-2025 and ensuring data quality for business decisions. Key delivery: updated capacity data URLs, adjusted processing to align with new data schemas, and expanded test coverage for the new years. No major bugs reported; overall impact is improved data completeness, reliability, and year-over-year comparability for NYISO metrics. Technologies demonstrated include data ingestion pipelines, schema migrations, test automation, and CI.
January 2025 monthly summary for gridstatus/gridstatus: Focused on expanding NYISO data coverage to 2024-2025 and ensuring data quality for business decisions. Key delivery: updated capacity data URLs, adjusted processing to align with new data schemas, and expanded test coverage for the new years. No major bugs reported; overall impact is improved data completeness, reliability, and year-over-year comparability for NYISO metrics. Technologies demonstrated include data ingestion pipelines, schema migrations, test automation, and CI.

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