
Miguel Anaya contributed to the a10pepo/EDEM_MDA2526 repository by developing user-facing features, educational resources, and robust data engineering solutions over three months. He containerized Python applications with Docker and Docker Compose, enabling reproducible development and deployment environments. Miguel implemented SQL learning modules and a DBT-based football analytics pipeline, improving onboarding and data organization. He enhanced analytics capabilities by designing data models and transformation macros in SQL and DBT, supporting richer player and match reporting. Additionally, he built a Hangman game with PostgreSQL integration and API-driven word selection, demonstrating backend development skills and a focus on scalable, testable solutions.
2025-12 monthly summary for a10pepo/EDEM_MDA2526. Delivered two major features: Sports Analytics Data Model and Transformation Enhancements and Hangman Game with Database Integration. No major bugs fixed this month. Overall impact: expanded analytics capabilities, richer reporting, and end-to-end feature deployment; improved data reliability and testability. Technologies showcased include DBT, SQL, PostgreSQL, Docker, API integration, data modeling, ETL, and containerization. Business value realized through enhanced player and match analytics, scalable transformations, and deployable game feature.
2025-12 monthly summary for a10pepo/EDEM_MDA2526. Delivered two major features: Sports Analytics Data Model and Transformation Enhancements and Hangman Game with Database Integration. No major bugs fixed this month. Overall impact: expanded analytics capabilities, richer reporting, and end-to-end feature deployment; improved data reliability and testability. Technologies showcased include DBT, SQL, PostgreSQL, Docker, API integration, data modeling, ETL, and containerization. Business value realized through enhanced player and match analytics, scalable transformations, and deployable game feature.
November 2025: Delivered foundational data engineering and analytics capabilities for the EDEM_MDA2526 project. Implemented Dockerized SQL learning resources to accelerate onboarding and testing, and kicked off a DBT-based football analytics pipeline with staging views and transformations to improve data organization for events, teams, and players. These efforts establish a reproducible development environment, scalable data workflows, and measurable business value through faster iteration and higher quality analytics.
November 2025: Delivered foundational data engineering and analytics capabilities for the EDEM_MDA2526 project. Implemented Dockerized SQL learning resources to accelerate onboarding and testing, and kicked off a DBT-based football analytics pipeline with staging views and transformations to improve data organization for events, teams, and players. These efforts establish a reproducible development environment, scalable data workflows, and measurable business value through faster iteration and higher quality analytics.
Month: 2025-10 — Summary for a10pepo/EDEM_MDA2526. This period delivered user-facing features, education resources, and infrastructure improvements that drive business value, developer productivity, and safer user interactions. Highlights below include feature delivery, quality fixes, and the establishment of reproducible environments with containerization.
Month: 2025-10 — Summary for a10pepo/EDEM_MDA2526. This period delivered user-facing features, education resources, and infrastructure improvements that drive business value, developer productivity, and safer user interactions. Highlights below include feature delivery, quality fixes, and the establishment of reproducible environments with containerization.

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