Prof-Drake-UMD/INST767-Sp25
May 2025 – May 2025
1 Month active
Languages Used
CSVGeoJSONJSONMarkdownPythonSQL
Technical Skills
API IntegrationBigQueryCloud FunctionsCloud StorageData AnalysisData Engineering
Twinkle
PROFILE
Twinkle
Developed and delivered an end-to-end Gun Violence Data Pipeline for the INST767-Sp25 repository, focusing on scalable ingestion, transformation, and storage of firearm incident data from multiple sources. Migrated the ingestion process to modular Google Cloud Functions and Pub/Sub, enabling reliable, cloud-native data flows and removing legacy code to reduce technical debt. Leveraged Python, SQL, and BigQuery for data engineering and analysis tasks, while enhancing public API documentation, sample analytical queries, and IAM role guidance. Updated the README and technical notes to improve developer onboarding and project adoption, ensuring production readiness for researchers and policy stakeholders working with gun violence data.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
2
Lines of code
95,769
Activity Months1
Your Network
32 peopleWork History
May 2025
6 Commits • 2 Features
May 1, 2025May 2025: Delivered a robust end-to-end Gun Violence Data Pipeline and enhanced project documentation for INST767-Sp25, focusing on reliability, scalability, and developer accessibility. Key outcomes include migrating ingestion to modular Google Cloud Functions and Pub/Sub, storing transformed data in BigQuery, and removing legacy ingest.py as part of a refactor. Also improved public API docs, sample analytical queries, IAM role guidance, and README for better developer experience and adoption.
6 Commits • 2 Features
May 1, 2025May 2025: Delivered a robust end-to-end Gun Violence Data Pipeline and enhanced project documentation for INST767-Sp25, focusing on reliability, scalability, and developer accessibility. Key outcomes include migrating ingestion to modular Google Cloud Functions and Pub/Sub, storing transformed data in BigQuery, and removing legacy ingest.py as part of a refactor. Also improved public API docs, sample analytical queries, IAM role guidance, and README for better developer experience and adoption.
May 2025
Activity
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Quality Metrics
Correctness88.4%
Maintainability90.0%
Architecture88.4%
Performance86.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVGeoJSONJSONMarkdownPythonSQL
Technical Skills
API IntegrationBigQueryCloud FunctionsCloud StorageData AnalysisData EngineeringData IngestionData WarehousingDocumentationETLFile HandlingGoogle Cloud PlatformJupyter NotebookPandasPub/Sub
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