
Over a two-month period, contributed to the BigData2025-Rev/p3 repository by developing two PySpark-based data engineering features focused on US census data. Built a state data consolidation script that reads and joins multiple CSV files on a common identifier, producing a consolidated dataset ready for downstream analytics. Enhanced maintainability through comprehensive inline documentation and clarified the 2010 census workflow for reproducibility. Delivered a population growth analysis tool that computes decade-over-decade growth rates for metropolitan and non-metropolitan districts, exporting results to CSV for visualization. Demonstrated strong proficiency in Python, PySpark, and data processing, establishing reproducible analytics pipelines without reported bugs.
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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