BigData2025-Rev/p3
Jan 2025 – Feb 2025
2 Months active
Languages Used
PythonText
Technical Skills
AutomationData EngineeringData ProcessingData WranglingETLFile Conversion
Adeel Hussain
PROFILE
Adeel Hussain
Adeel developed robust data engineering solutions for the BigData2025-Rev/p3 repository, focusing on scalable pipelines for redistricting and population growth analysis. He designed and implemented end-to-end workflows using Python, pandas, and PySpark, handling tasks from file extraction and format conversion to deduplication and consolidation into ORC storage. His work included modularizing merge logic, improving repository hygiene, and addressing critical bugs to enhance maintainability. In February, Adeel extended the pipeline to analyze district-level population growth across multiple decades, generating CSV outputs and Power BI visualizations. The solutions established a maintainable foundation for large-scale, cross-state demographic data analysis.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
10Total
Bugs
1
Commits
10
Features
3
Lines of code
575
Activity Months2
Your Network
16 people
Work History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for BigData2025-Rev/p3: Delivered an end-to-end district-level population growth analysis and visualization pipeline, leveraging PySpark on ORC data for years 2000, 2010, and 2020. Implemented population counts and growth rates for adult and youth demographics, exported results to CSV, and developed Power BI visualizations for stakeholders. Produced comprehensive documentation including a context-question file to guide interpretation. Three commits supported the delivery, culminating in final Spark analysis code and Power BI reports.
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for BigData2025-Rev/p3: Delivered an end-to-end district-level population growth analysis and visualization pipeline, leveraging PySpark on ORC data for years 2000, 2010, and 2020. Implemented population counts and growth rates for adult and youth demographics, exported results to CSV, and developed Power BI visualizations for stakeholders. Produced comprehensive documentation including a context-question file to guide interpretation. Three commits supported the delivery, culminating in final Spark analysis code and Power BI reports.
February 2025
January 2025
7 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for BigData2025-Rev/p3: Delivered two end-to-end data pipelines for redistricting data, improved data quality through robust deduplication during merges, and completed repository hygiene improvements. The work establishes a scalable, unified data layer for cross-state analyses, leveraging Python (pandas) and PySpark with ORC storage to optimize analytics workflows.
January 2025
7 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for BigData2025-Rev/p3: Delivered two end-to-end data pipelines for redistricting data, improved data quality through robust deduplication during merges, and completed repository hygiene improvements. The work establishes a scalable, unified data layer for cross-state analyses, leveraging Python (pandas) and PySpark with ORC storage to optimize analytics workflows.
Activity
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Quality Metrics
Correctness86.0%
Maintainability84.0%
Architecture83.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonText
Technical Skills
AutomationBig DataData AnalysisData EngineeringData ProcessingData WranglingETLFile ConversionFile HandlingFile ManipulationORCPandasPySparkPythonSpark
Repositories Contributed To
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