
Jorge Albalat developed a range of backend and data engineering features for the a10pepo/EDEM_MDA2526 repository over three months, focusing on robust onboarding, reproducible deployment, and real-time data processing. He implemented containerized Python applications using Docker, enhanced onboarding with improved documentation, and built a database-backed Hangman game with API-driven word sourcing and persistent results. Jorge also delivered a real-time sensor data processing platform leveraging PySpark and Kafka for streaming ingestion and aggregation, supported by Jupyter-based analytics. His work demonstrated depth in Python, SQL, and stream processing, emphasizing scalable solutions, maintainable code, and clear documentation without reported defects.
Performance summary for 2025-12: Delivered a complete Real-time Sensor Data Processing Platform in the a10pepo/EDEM_MDA2526 repository. The end-to-end solution uses PySpark and Kafka in a Dockerized environment to support streaming data ingestion, real-time processing and aggregation, and includes a comprehensive Jupyter notebook for analysis and visualization. This deliverable is backed by commit 6ef45212630373b79bf9c9b219753590058296a5 (entregable completo). Business value includes near real-time visibility into sensor data, scalable processing, and a repeatable deployment pipeline, enabling faster insights and data-driven decisions. Technologies demonstrated include PySpark, Kafka, Docker, and notebook-based analytics.
Performance summary for 2025-12: Delivered a complete Real-time Sensor Data Processing Platform in the a10pepo/EDEM_MDA2526 repository. The end-to-end solution uses PySpark and Kafka in a Dockerized environment to support streaming data ingestion, real-time processing and aggregation, and includes a comprehensive Jupyter notebook for analysis and visualization. This deliverable is backed by commit 6ef45212630373b79bf9c9b219753590058296a5 (entregable completo). Business value includes near real-time visibility into sensor data, scalable processing, and a repeatable deployment pipeline, enabling faster insights and data-driven decisions. Technologies demonstrated include PySpark, Kafka, Docker, and notebook-based analytics.
Month: 2025-11 | Repository: a10pepo/EDEM_MDA2526 Concise summary: Delivered four features in November 2025, spanning input validation, gameplay analytics, data management, and documentation. No major bugs reported this month. Business value achieved: reduced invalid submissions, enhanced user engagement through persistent gameplay results, scalable HR data handling, and improved onboarding/documentation accessibility. Technologies demonstrated include Python, SQL, DBT, and database-backed storage, with emphasis on input validation, performance optimization, CRUD design, and static content delivery.
Month: 2025-11 | Repository: a10pepo/EDEM_MDA2526 Concise summary: Delivered four features in November 2025, spanning input validation, gameplay analytics, data management, and documentation. No major bugs reported this month. Business value achieved: reduced invalid submissions, enhanced user engagement through persistent gameplay results, scalable HR data handling, and improved onboarding/documentation accessibility. Technologies demonstrated include Python, SQL, DBT, and database-backed storage, with emphasis on input validation, performance optimization, CRUD design, and static content delivery.
Monthly summary for 2025-10 focusing on onboarding improvements, reproducible deployment, and feature-rich educational tooling in the a10pepo/EDEM_MDA2526 repository. No major defects reported this month; efforts centered on documentation hygiene, containerized deployment, and data-driven enhancements that drive business value through clearer onboarding, reliable environments, and richer learning experiences.
Monthly summary for 2025-10 focusing on onboarding improvements, reproducible deployment, and feature-rich educational tooling in the a10pepo/EDEM_MDA2526 repository. No major defects reported this month; efforts centered on documentation hygiene, containerized deployment, and data-driven enhancements that drive business value through clearer onboarding, reliable environments, and richer learning experiences.

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