
Developed a PySpark-based Regional Population Analysis Script for the BigData2025-Rev/p3 repository, enabling computation of total population per region per decade from ORC-formatted census data. The solution established an end-to-end data pipeline, ingesting ORC files, aggregating regional totals, and exporting results to CSV for downstream analytics and reporting. Leveraging Python, PySpark, and SQL, the work focused on scalable data engineering practices and maintainable code structure. This feature laid the foundation for future dashboard integration and analytics-driven decision support, supporting regional trend analysis and planning. No major bugs were addressed during this period, with efforts concentrated on new feature delivery.
February 2025: Delivered a PySpark-based Regional Population Analysis Script to compute total population per region per decade from ORC data and export results to CSV, enabling regional trend reporting and downstream analytics. No major bugs fixed this month. Impact: provides a scalable data-pipeline component for planning analytics and dashboards. Skills demonstrated: PySpark, ORC data handling, CSV export, and code maintenance.
February 2025: Delivered a PySpark-based Regional Population Analysis Script to compute total population per region per decade from ORC data and export results to CSV, enabling regional trend reporting and downstream analytics. No major bugs fixed this month. Impact: provides a scalable data-pipeline component for planning analytics and dashboards. Skills demonstrated: PySpark, ORC data handling, CSV export, and code maintenance.

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