BigData2025-Rev/p3
Jan 2025 – Feb 2025
2 Months active
Languages Used
MarkdownPythonSQL
Technical Skills
Data EngineeringData MergingData ProcessingData TransformationData WranglingDocumentation
walleaka
PROFILE
Walleaka
Over a two-month period, contributed to the BigData2025-Rev/p3 repository by building an end-to-end data wrangling pipeline for 2000s census data, focusing on scalable ingestion, transformation, and analytics. Leveraged Python, PySpark, and SQL to automate FTP/MDB data acquisition, merge CSVs, and consolidate outputs into ORC formats. Enhanced maintainability through scaffolding, documentation, and repository cleanup, enabling reproducible workflows and streamlined onboarding. Addressed data preprocessing accuracy by refining header parsing and centralized path handling. Developed PySpark scripts for district population analysis and modernized Power BI reporting, supporting business intelligence needs with reproducible census-year analytics and improved data quality.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
12Total
Bugs
1
Commits
12
Features
4
Lines of code
2,544
Activity Months2
Your Network
16 peopleWork History
February 2025
6 Commits • 2 Features
Feb 1, 2025February 2025 performance highlights for BigData2025-Rev/p3 focused on fixing data ingestion accuracy, delivering scalable analytics, and modernizing BI reporting, with emphasis on business value and maintainable code. The month delivered improved data quality, reproducible census-year analyses, and enhanced Power BI dashboards to support decision-making.
6 Commits • 2 Features
Feb 1, 2025February 2025 performance highlights for BigData2025-Rev/p3 focused on fixing data ingestion accuracy, delivering scalable analytics, and modernizing BI reporting, with emphasis on business value and maintainable code. The month delivered improved data quality, reproducible census-year analyses, and enhanced Power BI dashboards to support decision-making.
February 2025
January 2025
6 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for BigData2025-Rev/p3 focused on delivering a robust end-to-end wrangling solution for 2000s census data and establishing a maintainable scaffolding foundation for future wrangling work. Key outcomes include a reproducible data pipeline from FTP/MDB data acquisition through PySpark-based merging of CSVs across 'first', 'second', and 'geo' files, and consolidation into ORC formats, plus final-wrangler scaffolding and cleanup to standardize the 2000s wrangling workflow and reduce maintenance overhead. These efforts enable faster data ingestion, improved analytics performance, and clearer on-boarding for new contributors, aligning with the team's data architecture and analytics goals.
January 2025
6 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for BigData2025-Rev/p3 focused on delivering a robust end-to-end wrangling solution for 2000s census data and establishing a maintainable scaffolding foundation for future wrangling work. Key outcomes include a reproducible data pipeline from FTP/MDB data acquisition through PySpark-based merging of CSVs across 'first', 'second', and 'geo' files, and consolidation into ORC formats, plus final-wrangler scaffolding and cleanup to standardize the 2000s wrangling workflow and reduce maintenance overhead. These efforts enable faster data ingestion, improved analytics performance, and clearer on-boarding for new contributors, aligning with the team's data architecture and analytics goals.
Activity
Loading activity data...
Quality Metrics
Correctness89.2%
Maintainability88.4%
Architecture89.2%
Performance88.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonSQL
Technical Skills
Data AnalysisData EngineeringData MergingData PreprocessingData ProcessingData TransformationData WranglingDocumentationETLFTP ClientFile HandlingFile ManagementFile ParsingFile System OperationsPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline