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Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pair Extraordinairex2Achievement: Pull Sharkx2

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jmdu99/README.md

💫 About Me:

🎯 Data Engineer with international experience, focused on building and optimizing data pipelines.

🌍 Diverse background across sectors and countries, with strong adaptability, strategic thinking, and a results-driven mindset.

🚀 Passionate about continuous learning, with a solid foundation in engineering, data science, and data engineering.

🔎 Looking for new challenges in complex data projects where I can keep growing and delivering value from day one.

🏆 GitHub Trophies

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  1. Hybrid-Fitness-Data-Pipeline-Batch-Streaming Hybrid-Fitness-Data-Pipeline-Batch-Streaming Public

    This project demonstrates a full hybrid fitness data pipeline combining real-time streaming (Kafka + MongoDB) with scheduled batch enrichment and loading (Prefect + Redshift). Dashboards are built …

    Python

  2. Hybrid-Nutrition-Data-Pipeline-Batch-Streaming Hybrid-Nutrition-Data-Pipeline-Batch-Streaming Public

    This project simulates a real-time and batch data pipeline for food item enrichment and nutritional analytics. It demonstrates a modern architecture that uses Kafka for streaming ingestion, Cassand…

    Python

  3. dbpedia/DBpedia-Spotlight-Dashboard dbpedia/DBpedia-Spotlight-Dashboard Public

    An integrated statistical information tool from the Wikipedia dumps and the DBpedia Extraction Framework artifacts

    Python 1

  4. Data-Processes-assignment Data-Processes-assignment Public

    COVID-19 survival analysis of a dataset and prediction using Python (sklearn, pandas, numpy, matplotlib, lifelines, mlxtend, joblib)

    Python 1

  5. Spark-Practical-Work Spark-Practical-Work Public

    Big Data: Spark Practical Work First Semester 2021/2022

    Scala

  6. Graph-Analysis-Social-Networks Graph-Analysis-Social-Networks Public

    Assignments made during the Graph Analysis and Social Networks course using Tweepy, NetworkX and NLTK.

    Jupyter Notebook 1