pcamarillor/O2025_ESI3914O
Aug 2025 – Oct 2025
3 Months active
Languages Used
MarkdownJSONJupyter NotebookPythonSQL
Technical Skills
DocumentationBig Data ProcessingData CleaningData EngineeringData ProcessingData Transformation
Jos
PROFILE
Jos
Over a three-month period, contributed to the pcamarillor/O2025_ESI3914O repository by developing seven features focused on data engineering and documentation. Delivered hands-on Spark labs in Jupyter Notebooks that addressed music streaming analytics, bank account operations using object-oriented programming, schema generation, and airline data cleaning. Built end-to-end workflows for ingesting and transforming large datasets, including a pipeline that loads CSV data into Neo4j using PySpark, enabling graph-based queries and analytics. Emphasized reproducible data workflows, schema definition, and clear documentation using Markdown and Python. The work demonstrated depth in big data processing, data transformation, and integration of graph database technologies.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
8Total
Bugs
0
Commits
8
Features
7
Lines of code
2,006
Activity Months3
Your Network
28 peopleShared Repositories
15
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for Oct 2025 focusing on delivering an end-to-end data-to-graph ingestion workflow. Implemented Lab06 notebook to ingest CSV data into Neo4j using PySpark, transform data into graph-friendly nodes and edges, persist to Neo4j, and execute relationship queries. This supports downstream graph analytics and business insights.
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for Oct 2025 focusing on delivering an end-to-end data-to-graph ingestion workflow. Implemented Lab06 notebook to ingest CSV data into Neo4j using PySpark, transform data into graph-friendly nodes and edges, persist to Neo4j, and execute relationship queries. This supports downstream graph analytics and business insights.
October 2025
September 2025
5 Commits • 5 Features
Sep 1, 2025September 2025 highlights: Delivered five hands-on Spark/Data Engineering labs in repo pcamarillor/O2025_ESI3914O to strengthen practical data processing, cleaning, and integration skills. Key features introduced across Lab 01–04 include music streaming data processing, Spark+OOP bank account operations, a dynamic Spark schema generator, airline data cleaning, and data unions/joins across multiple sources. Each lab ships with Jupyter notebooks, examples, and accompanying utility code, all wired to common Spark initialization patterns and reproducible data workflows.
September 2025
5 Commits • 5 Features
Sep 1, 2025September 2025 highlights: Delivered five hands-on Spark/Data Engineering labs in repo pcamarillor/O2025_ESI3914O to strengthen practical data processing, cleaning, and integration skills. Key features introduced across Lab 01–04 include music streaming data processing, Spark+OOP bank account operations, a dynamic Spark schema generator, airline data cleaning, and data unions/joins across multiple sources. Each lab ships with Jupyter notebooks, examples, and accompanying utility code, all wired to common Spark initialization patterns and reproducible data workflows.
August 2025
2 Commits • 1 Features
Aug 1, 2025August 2025 — pcamarillor/O2025_ESI3914O: Key feature delivered: a new Markdown profile for collaborator Jose Angel Leon, including personal bio, location, current work, and contact information; also standardized the filename for consistency. No major bugs fixed this month. Overall impact: improved contributor visibility, onboarding, and collaboration with external partners; stronger governance and discoverability of contributor profiles. Technologies/skills demonstrated: Markdown-based content authoring, profile standardization, version-control hygiene, and commit traceability. Business value: faster external outreach, clearer attribution, and more consistent contributor documentation.
2 Commits • 1 Features
Aug 1, 2025August 2025 — pcamarillor/O2025_ESI3914O: Key feature delivered: a new Markdown profile for collaborator Jose Angel Leon, including personal bio, location, current work, and contact information; also standardized the filename for consistency. No major bugs fixed this month. Overall impact: improved contributor visibility, onboarding, and collaboration with external partners; stronger governance and discoverability of contributor profiles. Technologies/skills demonstrated: Markdown-based content authoring, profile standardization, version-control hygiene, and commit traceability. Business value: faster external outreach, clearer attribution, and more consistent contributor documentation.
August 2025
Activity
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Quality Metrics
Correctness87.6%
Maintainability87.6%
Architecture87.6%
Performance85.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonSQL
Technical Skills
Big Data ProcessingData CleaningData EngineeringData ProcessingData TransformationDocumentationGraph DatabasesJupyter NotebookJupyter NotebooksNeo4jObject-Oriented ProgrammingPySparkPythonSchema DefinitionSpark
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline