
Henry Lee developed two core data engineering features for the BigData2025-Rev/p3 repository over a two-month period. He built a PySpark-based pipeline to consolidate state-level census data from multiple CSV sources, joining datasets on a common identifier and producing a headered output for downstream analytics. His work included detailed inline documentation to support maintainability and reproducibility, particularly clarifying the 2010 US Census workflow. In the following month, Henry delivered a population growth analysis tool using PySpark and Pandas, enabling decade-over-decade growth calculations for metropolitan and non-metropolitan districts and exporting results to CSV for further visualization and analysis.

February 2025 Monthly Summary focusing on key accomplishments, major bugs fixed, overall impact, and technologies demonstrated. Highlights: delivered a PySpark-based Population Growth Analysis Tool for census data, enabling metro vs. non-metropolitan growth analysis and exporting results to CSV for visualization. No major bugs were reported this month. The work establishes a reproducible analytics workflow and demonstrates strong data engineering and PySpark skills in BigData2025-Rev/p3.
February 2025 Monthly Summary focusing on key accomplishments, major bugs fixed, overall impact, and technologies demonstrated. Highlights: delivered a PySpark-based Population Growth Analysis Tool for census data, enabling metro vs. non-metropolitan growth analysis and exporting results to CSV for visualization. No major bugs were reported this month. The work establishes a reproducible analytics workflow and demonstrates strong data engineering and PySpark skills in BigData2025-Rev/p3.
January 2025: Delivered a PySpark-based State Data Consolidation Script in BigData2025-Rev/p3 that reads two CSVs, joins on a common ID, and outputs a headered consolidated state dataset for downstream analytics. Added comprehensive inline documentation to improve maintainability and onboarding, including clarifications for the 2010 US Census data workflow. No major bugs fixed this month; pipeline validated and ready for analytics consumption.
January 2025: Delivered a PySpark-based State Data Consolidation Script in BigData2025-Rev/p3 that reads two CSVs, joins on a common ID, and outputs a headered consolidated state dataset for downstream analytics. Added comprehensive inline documentation to improve maintainability and onboarding, including clarifications for the 2010 US Census data workflow. No major bugs fixed this month; pipeline validated and ready for analytics consumption.
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