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Achievement: QuickdrawAchievement: Pull Sharkx2

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Achievement: QuickdrawAchievement: Pull Sharkx2

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gaetancorin/README.md

👋 Hi, I'm Gaëtan

Python Data Engineer with a background in Software Development.

My stacks & playground in my GitHub repositories:

  • Languages: Python, Shell
  • Frameworks: Flask, Django
  • Orchestration & Workflows: Airflow, Spark, PySpark
  • Cloud & DevOps: Amazon S3, Amazon IAM, GitHub Actions CI/CD, Docker, Docker Compose
  • Monitoring & Alerting: Prometheus, Grafana, Gmail, Mailhog
  • Databases: PostgreSQL, MongoDB
  • Data Visualization: Metabase, Matplotlib
  • Unit Testing: Pytest

Tools used in professional environments:
Microsoft Azure, Amazon AWS, Jira

Curriculum Vitae LinkedIn

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  1. crypto_pipeline_airflow_spark crypto_pipeline_airflow_spark Public

    Real-time BTC/USD & ETH/USD pipeline using Python websockets. Data stored in PostgreSQL, processed via Airflow and Spark. Monitored with Prometheus & Grafana. CI/CD via GitHub Actions.

    Python 1

  2. Datapipeline_compare_official_vs_gas_stations_oil_prices Datapipeline_compare_official_vs_gas_stations_oil_prices Public

    This project processes 56 million records of oil prices changes from French gas stations (2008 → today), and compares them with official government oil prices to analyze pricing differences

    Python 1

  3. windows-docker-monitoring windows-docker-monitoring Public

    Monitor your Docker containers on Windows using Docker Desktop, Prometheus, and Grafana.

    Python 6

  4. DataPipeline_french_fuel_cost_decomposition DataPipeline_french_fuel_cost_decomposition Public

    Create and Transform multiple datasets using only open data, following petroleum industry rules, to provide clear insights into French diesel price components.

    Jupyter Notebook 1

  5. pokem_buyer_bot pokem_buyer_bot Public

    Developed an automated purchasing bot in Python with a Flask backend designed to monitor product availability and execute a complete checkout workflow on an e-commerce platform.

    Python 1