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Matthias GMG

Matthias G

Supermalter

Tech Lead Data

€560/day
6 projects
Nantes, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Matthias

Data engineer for 5 years, I am able to develop, test and deploy Data processing in production. I have worked in both the health and banking sectors through my experiences.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Nantes (up to 30km), Paris (up to 10km), Rennes (up to 10km), Angers (up to 10km), La Roche-sur-Yon (up to 10km)

Experience

  • My Money Bank
    Data Engineer
    BANKING AND INSURANCE
    September 2025 - Today (9 months)
    Nantes, France
    Development of batch data pipelines around credit risk. AWS cloud stack (Lambda, Glue, S3). Orchestration on Airflow.
    Spark Amazon Web Services AWS Glue AWS Lambda Airflow
  • SNCF
    Tech Lead Data
    TRANSPORTATION
    October 2024 - September 2025 (11 months)
    Nantes, France
    Responsible for the entire project cycle, from pre-sales to production, as part of the migration of an existing system from Teradata to Azure Databricks. Technical management of the sales accounting system migration. Design and development of processing pipelines for loyalty cards, customer subscriptions, and strategic business indicators (station traffic, CO2 consumption, kilometers/passenger, etc.). Implementation of high-performance distributed processing under Spark (Scala). Automation of deployments and CI/CD processes with Jenkins and Ansible. Scrum Master responsibilities: animation of agile ceremonies (Daily, Sprint Planning, Reviews, Retrospectives), management of obstacles and blocking points, facilitation of exchanges between technical and business teams.
    Azure Databricks Databricks Spark Scala Unity Catalog
  • Credit Agricole Technologies et Services
    Big Data Engineer
    BANKING AND INSURANCE
    November 2021 - September 2024 (2 years and 9 months)
    Nantes, France
    Design, development, documentation, testing, and deployment of various flows to feed a data lake in the banking sector. Migration of data and applications from a Hortonworks platform to Cloudera. Development of Kafka streaming flows and Spark batch flows. Creation of Oozie workflows to schedule Big Data processing. Monitoring and tracking of production processes. Work carried out in agile SCRUM mode.
    Spark HBase Apache Kafka Hive Scala

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Education

  • Master in Machine Learning and Automatic Language Processing
    University of Nantes
    2020
    Master orienté recherche en apprentissage automatique appliqué au traitement de la langue (texte et parole): - Apprentissage automatique: Apprentissage supervisé, non supervisé, par renforcement. Classification, régression et apprentissage profond (Feed Forward, Recurrent Neural Network, Convolutional Neural Network, Autoencoders, Generative Adversarial Network). - Traitement du texte: extraction d'entitées nommées, analyse de sentiments, chatbot, traduction automatique, plongements de mots, modèle de langue, génération de texte - Traitement de la parole: Traitements du signal, Segmentation, Reconnaissance du locuteur, Reconnaissance des émotions dans la parole, Text-To-Speech, Mel-Frequency Cepstral Coefficients, Gaussian Mixture Models

Skill set

Categories