pcamarillor/O2025_ESI3914O
Aug 2025 – Oct 2025
3 Months active
Languages Used
MarkdownJSONJupyter NotebookPythonSQLIPython
Technical Skills
DocumentationApache SparkBig Data ProcessingData AnalysisData CleaningData Engineering
rodrigoMartinDelCampo
PROFILE
Rodrigomartindelcampo
Rodrigo Martindelcampo developed a suite of data engineering and analytics solutions in the pcamarillor/O2025_ESI3914O repository, focusing on onboarding documentation, data pipelines, and robust analytics workflows. He built Jupyter Notebooks and PySpark utilities for music streaming and airline datasets, implementing schema generation, data cleaning, and transformation pipelines using Python and Spark. Rodrigo also delivered a Neo4j data pipeline and structured streaming log generator, addressing both batch and streaming data scenarios. His work included reliability improvements for notebook assets, enhancing reproducibility and onboarding. The solutions demonstrated depth in big data processing, configuration management, and end-to-end workflow reproducibility.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
17Total
Bugs
1
Commits
17
Features
8
Lines of code
2,653
Activity Months3
Your Network
28 people
Work History
October 2025
7 Commits • 2 Features
Oct 1, 2025October 2025 summary focusing on delivering practical data engineering notebooks and stabilizing notebook assets in pcamarillor/O2025_ESI3914O. Delivered end-to-end data ingestion/transformation notebooks and a reliability fix for notebook assets to improve robustness and reproducibility.
7 Commits • 2 Features
Oct 1, 2025October 2025 summary focusing on delivering practical data engineering notebooks and stabilizing notebook assets in pcamarillor/O2025_ESI3914O. Delivered end-to-end data ingestion/transformation notebooks and a reliability fix for notebook assets to improve robustness and reproducibility.
October 2025
September 2025
8 Commits • 5 Features
Sep 1, 2025September 2025 performance snapshot for pcamarillor/O2025_ESI3914O. Delivered a set of data engineering and analytics features across Jupyter notebooks and PySpark utilities, enhanced data processing pipelines, and established reusable patterns for schema generation and data transformations. No production defects reported this period. Impact includes enabling rapid analytics on music streaming and airline datasets, demonstrating end-to-end data workflows, and improving reproducibility across labs.
September 2025
8 Commits • 5 Features
Sep 1, 2025September 2025 performance snapshot for pcamarillor/O2025_ESI3914O. Delivered a set of data engineering and analytics features across Jupyter notebooks and PySpark utilities, enhanced data processing pipelines, and established reusable patterns for schema generation and data transformations. No production defects reported this period. Impact includes enabling rapid analytics on music streaming and airline datasets, demonstrating end-to-end data workflows, and improving reproducibility across labs.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025: Repository pcamarillor/O2025_ESI3914O focused on establishing onboarding documentation to accelerate new collaborator integration. Delivered initial onboarding documentation for a new collaborator (martindelcampo_rodrigo.md) and updated it to include interests (Networks). No major bug fixes this month; effort centered on documentation quality, process standardization, and onboarding readiness for scalable collaboration.
2 Commits • 1 Features
Aug 1, 2025August 2025: Repository pcamarillor/O2025_ESI3914O focused on establishing onboarding documentation to accelerate new collaborator integration. Delivered initial onboarding documentation for a new collaborator (martindelcampo_rodrigo.md) and updated it to include interests (Networks). No major bug fixes this month; effort centered on documentation quality, process standardization, and onboarding readiness for scalable collaboration.
August 2025
Activity
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Quality Metrics
Correctness81.2%
Maintainability80.0%
Architecture80.0%
Performance78.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
IPythonJSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Apache SparkBig Data ProcessingConfiguration ManagementData AnalysisData CleaningData EngineeringData ProcessingData SimulationData TransformationDocumentationETLFeature EngineeringJupyter NotebookJupyter NotebooksLog Generation
Repositories Contributed To
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