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
Over a three-month period, contributed to the pcamarillor/O2025_ESI3914O repository by developing eight features and addressing one bug, focusing on data engineering and onboarding workflows. Built Jupyter Notebooks and PySpark utilities for analytics on music streaming, airline, and car rental datasets, implementing schema generation, data cleaning, and transformation pipelines using Python and Spark. Enhanced onboarding by standardizing documentation to streamline new collaborator integration. Delivered end-to-end data ingestion and transformation notebooks, including Neo4j integration and structured streaming with synthetic log generation. Improved notebook asset reliability through configuration management, ensuring reproducibility and robustness for both onboarding and ongoing data engineering tasks.
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 peopleShared Repositories
15
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Juan LópezMember
luci-efeMember
danielarellMember
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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