
Nacho Reyes developed a scalable PySpark streaming coursework environment for the a10pepo/EDEM_MDA2526 repository, focusing on reproducibility and hands-on real-time data processing. He integrated Docker and Kafka to enable Spark 3.5.0 Jupyter support, allowing students to analyze e-commerce data streams in a controlled, evaluable setting. His work included expanding course materials and presentations, clarifying documentation, and structuring the curriculum for improved onboarding and learning outcomes. By leveraging Python, Dockerfile, and YAML, Nacho delivered a cohesive educational platform that emphasizes practical data engineering skills, demonstrating depth in both technical implementation and the creation of actionable, student-focused learning resources.
November 2025 performance summary for a10pepo/EDEM_MDA2526 focusing on delivering a scalable, actionable PySpark streaming coursework environment and enriching educational materials. The work emphasizes reproducibility, real-time data processing practice, and clear learning objectives to improve student outcomes and instructor efficiency.
November 2025 performance summary for a10pepo/EDEM_MDA2526 focusing on delivering a scalable, actionable PySpark streaming coursework environment and enriching educational materials. The work emphasizes reproducibility, real-time data processing practice, and clear learning objectives to improve student outcomes and instructor efficiency.

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