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bourgeoisjf/README.md

👋 Hi, I'm Jean-François Bourgeois

🚀 Aspiring Data Engineer | Career Transition | Open to Opportunities

I am actively pursuing opportunities in Data Engineering, with a strong focus on building scalable data pipelines, automated workflows, and reliable data systems that support analytics and decision-making.

Currently, I am developing hands-on expertise in:

  • Data Engineering fundamentals
  • Python for data processing and automation
  • SQL and relational databases
  • Data modeling and ETL/ELT pipelines
  • Analytics and Business Intelligence foundations

My background includes over 20 years of professional experience as a symphony orchestra cellist and project manager. This journey has shaped my discipline, consistency, problem-solving mindset, and ability to work with complex systems — skills I now apply directly to data engineering challenges.

I am in a full career transition, committed to continuous learning and practical projects, with the goal of becoming a production-ready Data Engineer capable of delivering clean, reliable, and scalable data solutions.

📌 Currently looking for:

  • Junior / Entry-Level Data Engineer roles
  • Internship or trainee opportunities in Data Engineering
  • Projects involving data pipelines, automation, and analytics infrastructure

📫 Feel free to connect or explore my projects below.

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  1. eu-energy-data-pipeline eu-energy-data-pipeline Public

    Pipeline de données pour la collecte, la transformation et le stockage des données de transparence énergétique de l’Union européenne, basé sur des sources officielles.

    Python

  2. modern-data-warehouse modern-data-warehouse Public

    Production-ready data warehouse with medallion architecture. Includes ETL pipelines, star schema, RFM segmentation, and Metabase dashboards. Built with PostgreSQL - ideal data engineering portfolio…

    PLpgSQL

  3. logistique-la-poste logistique-la-poste Public

    Analyse et optimisation des tournées de livraison La Poste. Exploration des données, clustering géographique, allocation véhicules et calcul d'itinéraires pour une logistique plus efficace.

    Jupyter Notebook

  4. TGV-Max-Availability-Optimizer TGV-Max-Availability-Optimizer Public

    Analyse stratégique des disponibilités TGV Max pour maximiser les chances de réservation

    Jupyter Notebook