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Jordan SportesJS

Jordan Sportes

Data Engineer Senior | Tech Lead | Databricks

€700/day
Paris, FR
8-15 years
Spark
Python
Databricks
Airflow
Gitlab CI/CD

Average response time: 1 hour

Freelancer profile translated to English.
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About Jordan

Senior Data Engineer with over 10 years of consulting experience in designing data pipelines and analytical platforms for high-volume environments with numerous clients. Expertise in Python (Polars, PySpark) for high-performance data processing and deploying data solutions on AWS and Databricks.
Banking and Financial Services
Environmental and Sustainable Development

  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • DECATHLON
    Senior Data Engineer / Data Tech Lead
    August 2021 - Today (5 years)
    Lille, France
    Design and optimization of distributed data pipelines with PySpark and Polars, along with their industrialization via Apache Airflow. Setup of a data architecture on AWS with governance via Unity Catalog, and deployment of scalable processing on Kubernetes. Implementation of quality practices (automated tests, checks with Great Expectations) and a CI/CD data pipeline with GitHub Actions. Optimization of complex flows processing up to 50 million records per day.
    Databricks Polars Airflow Amazon Web Services CI/CD
  • Lacoste
    Saegus – Lacoste – Data Scientist/Data Engineer Consultant
    DIGITAL AND IT
    June 2019 - July 2021 (2 years and 1 month)
    Paris, France
    Context: Industrialization of Supply Chain optimization calculations within Lacoste.
    Work performed:
    - After gathering complex business needs, implementation of a delivery delay calculation system
    - Classification of delayed deliveries by possible causes
    - Implementation of Qlik visualizations for business interaction.

    Technical Stack: QLIK, PYTHON, PAPERMILL, POLYNOTE, DATABRICKS, AZURE, SNOWFLAKE
    Databricks Python PySpark
  • Data2B
    Data Scientist Consultant
    DIGITAL AND IT
    September 2017 - March 2018 (7 months)
    Paris, France
    Context: Project for a car-sharing company (forecasting their reservations).
    Work performed:

    - Proof of Concept (PoC) for a car-sharing company
    - Ingestion of internal and external data (open data)
    - Implementation of several mathematical models
    - Prediction of their data evolution.
    Big Data Python
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Education

  • Computer Engineering
    ISEP
    2016
    Cours suivis : programmation web, logiciel, algorithmique, sécurité informatique Projets significatifs : Création d’un site e-commerce complet, réalisation d’une application Android (réseau social pour localiser ses amis)
  • Master of Science Data Science and Business Analytics
    ESSEC-CentralSupelec
    2017
    Cours principaux suivis : Machine learning, Deep learning, Optimization, Stratégie de business, Big Data analytics, massive data processing

Skill set

Scala
SQL
AWS
Polars
Unity
PySpark
Databricks
Airflow

Categories