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Marc PadelliniMP

Marc Padellini

Senior Cloud & Data Consultant

€639/day
Aix-en-Provence, FR
15+ years

Average response time: 1 hour

Freelancer profile translated to English.
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About Marc

Independent senior consultant with 24 years of proven experience in designing and implementing complex, scalable IT architectures. I combine deep technical expertise (Cloud, Data Engineering, MLOps, DevOps) with strategic vision, reinforced by a PhD in AI and Signal Processing (2005). I support decision-makers in large companies and startups in their digital transformation, ensuring operational excellence (SRE), cost optimization (FinOps), and agile team leadership.

Recommendations available on LinkedIn.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • German

    Fluent

  • Italian

    Fluent

Can work on-site
Aix-en-Provence (up to 50km), Nice (up to 30km), Paris (up to 20km), Lyon (up to 20km)

Experience

  • AMADEUS
    Tech Lead
    TRANSPORTATION
    March 2023 - Today (3 years and 3 months)
    Villeneuve-Loubet, France
    • Migration of an on-premise data lake to Azure cloud, including ingestion and secure transfer of strategic data.
    • Strategic redesign of the multi-instance, asynchronous, and distributed ingestion system on Azure, integrating best practices for authentication, security, and data governance.
    • Design and development of a proprietary, from-scratch Data Mesh monitoring service, with integration with ServiceNow.
    • Deployment of a multi-cloud (GCP, AWS) Infrastructure as Code (Bicep) solution to extend ingestion services.
    Python (programming language) Cloud Architecture Microsoft Azure
  • Ubitransport
    Head of Devops
    TRANSPORTATION
    October 2021 - December 2022 (1 year and 2 months)
    Aix-en-Provence, France
    • Comparative study and publication of a technical white paper on SnowFlake and BigQuery, serving as a strategic decision-making support.
    • Leadership of the Lift and Shift migration of a ticketing system to Google Cloud Platform, ensuring high availability (multi-tenant/multi-instance) and performance.
    • Platform performance optimization: sizing of databases and load balancers to handle traffic peaks and identification of critical SQL queries.
    • Management and reporting for a team of 4 DevOps.
    GCP Apache Ansible Terraform PostgreSQL
  • Brut.
    Data Engineer
    PRESS AND MEDIA
    October 2020 - October 2021 (1 year)
    Paris, France
    • Industrialization of NLP algorithms (TensorFlow, BERT model on GPU) for parallel processing and sentiment analysis (95% accuracy classification) of Facebook comments.
    • Implementation of complete MLOps practices (DVC, Terraform, Docker) and securing GCP Data infrastructure.
    • Technical supervision of a Data Scientist for model training.
    Terraform Python Google Cloud Platform (GCP) flask Dataflow

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Education

  • Master's degree, Electrical, Electronics and Communications Engineering
    Ecole nationale supérieure de l'Electronique et de ses Applications
    2002
    Master's degree, Electrical, Electronics and Communications Engineering
  • Doctor of Philosophy - PhD
    Université Gustave Eiffel
    2005
    Doctor of Philosophy - PhD

Certifications

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