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Luis Santana

PROFILE

Luis Santana

Over a three-month period, contributed to the pcamarillor/O2025_ESI3914B repository by developing six features focused on data engineering, analytics, and operational monitoring. Delivered Python modules and Jupyter notebooks for playlist analysis, a finance-oriented BankAccount class, and Spark-based data processing labs supporting schema generation, cleaning, and export to Parquet and CSV. Implemented a Neo4j ingestion pipeline for product reviews and a real-time structured streaming demo for server log analysis, enabling near real-time insights and graph-based analytics. Leveraged technologies including Python, Apache Spark, Pandas, and Neo4j, with an emphasis on scalable data pipelines, documentation, and onboarding support throughout.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

14Total
Bugs
0
Commits
14
Features
6
Lines of code
4,605
Activity Months3

Work History

October 2025

2 Commits • 2 Features

Oct 1, 2025

October 2025 monthly summary: Implemented graph-first data ingestion and real-time streaming demos to enable near real-time insights and proactive monitoring. No major bugs fixed this month. These deliverables unlock graph-based analytics for product reviews and enhance log-driven operational visibility, aligning with product and reliability goals.

September 2025

10 Commits • 2 Features

Sep 1, 2025

In Sep 2025, the pcamarillor/O2025_ESI3914B project delivered two major capabilities that enhance both finance-oriented prototyping and scalable data workflows, driving faster insights and safer software. The Bank Account Manager module provides a user-facing Python library and a Jupyter notebook implementing a BankAccount class with deposit, withdraw, and balance operations, including input validation and error handling to reduce misuse and support rapid feature prototyping for financial workflows. The Spark Data Processing Lab integrates Spark-based utilities and notebooks for schema generation, data cleaning/transformation, lazy evaluation optimization, unions/joins, and data export to Parquet/CSV, enabling scalable data pipelines and easier downstream consumption by BI tools. Together, these efforts improve data reliability, developer velocity, and BI readiness across the stack.

August 2025

2 Commits • 2 Features

Aug 1, 2025

Monthly summary for 2025-08 highlighting feature delivery, issue resolution status, and value impact for the pcamarillor/O2025_ESI3914B project. Emphasis on documentation, data analysis tooling, and onboarding support. No major bugs reported this month; all work completed to schedule and ready for next iteration.

Activity

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Quality Metrics

Correctness83.6%
Maintainability82.8%
Architecture80.0%
Performance81.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

JSONJupyter NotebookMarkdownPythonSQL

Technical Skills

Apache SparkBig DataBig Data ProcessingData AnalysisData CleaningData EngineeringData PipelinesData ProcessingData ScienceData TransformationData WarehousingDocumentationETLJSON ParsingJupyter Notebooks

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

pcamarillor/O2025_ESI3914B

Aug 2025 Oct 2025
3 Months active

Languages Used

Jupyter NotebookMarkdownPythonJSONSQL

Technical Skills

Data AnalysisDocumentationPandasPython ScriptingBig DataBig Data Processing