a10pepo/EDEM_MDA2526
Oct 2025 – Dec 2025
3 Months active
Languages Used
MarkdownPythonSQLYAML
Technical Skills
API integrationBasic input/output handlingDockerDocumentationFile handlingLinux command line
SalvillaT
PROFILE
Salvillat
Salvador Reche Vazquez developed a suite of backend and data engineering features for the a10pepo/EDEM_MDA2526 repository over three months, focusing on reproducible, containerized solutions for educational and analytics workflows. He delivered modular Python and SQL-based applications, including a Dockerized Hangman game with PostgreSQL integration and a real-time sensor data processing notebook using PySpark and Kafka. His work emphasized onboarding efficiency and hands-on learning, providing Jupyter notebooks and dbt project scaffolding to accelerate analytics development. By leveraging Docker, data modeling, and API integration, Salvador established robust foundations for both backend services and real-time data processing in a collaborative environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
7
Lines of code
18,963
Activity Months3
Your Network
56 peopleWork History
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for a10pepo/EDEM_MDA2526: Delivered a real-time sensor data processing notebook demonstrating an end-to-end streaming workflow using PySpark, Docker, and Kafka. The notebook serves as a practical final exercise for real-time analytics, wrapped in a reproducible, containerized environment. No critical defects reported; work focused on delivering business value through hands-on capability and training material.
1 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for a10pepo/EDEM_MDA2526: Delivered a real-time sensor data processing notebook demonstrating an end-to-end streaming workflow using PySpark, Docker, and Kafka. The notebook serves as a practical final exercise for real-time analytics, wrapped in a reproducible, containerized environment. No critical defects reported; work focused on delivering business value through hands-on capability and training material.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025Summary for 2025-11: Delivered a Docker-based dbt project setup with PostgreSQL integration, including configurations for data models, macros, and initial data generation scripts for fishing-related sales and captures. No major bugs fixed this month. Business impact: provides a reproducible, isolated development environment, accelerates onboarding and testing, and establishes a scalable foundation for future analytics and reporting. Technologies demonstrated: Docker, dbt, PostgreSQL, SQL migrations/macros, and data-generation scripting.
November 2025
1 Commits • 1 Features
Nov 1, 2025Summary for 2025-11: Delivered a Docker-based dbt project setup with PostgreSQL integration, including configurations for data models, macros, and initial data generation scripts for fishing-related sales and captures. No major bugs fixed this month. Business impact: provides a reproducible, isolated development environment, accelerates onboarding and testing, and establishes a scalable foundation for future analytics and reporting. Technologies demonstrated: Docker, dbt, PostgreSQL, SQL migrations/macros, and data-generation scripting.
October 2025
8 Commits • 5 Features
Oct 1, 2025October 2025 monthly summary for repository a10pepo/EDEM_MDA2526. Focused on delivering containerized, learner-facing educational features and backend components with strong emphasis on reproducibility and business value. Implemented a modular set of features that improve onboarding, learning outcomes, and developer velocity through Docker-based deployments and SQL-backed services.
8 Commits • 5 Features
Oct 1, 2025October 2025 monthly summary for repository a10pepo/EDEM_MDA2526. Focused on delivering containerized, learner-facing educational features and backend components with strong emphasis on reproducibility and business value. Implemented a modular set of features that improve onboarding, learning outcomes, and developer velocity through Docker-based deployments and SQL-backed services.
October 2025
Activity
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Quality Metrics
Correctness88.0%
Maintainability86.0%
Architecture90.0%
Performance86.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonSQLYAML
Technical Skills
API integrationApache KafkaBasic input/output handlingData AnalysisData EngineeringData ModelingDockerDocumentationFile handlingJupyter NotebooksLinux command lineLinux commandsPostgreSQLPySparkPython
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