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Jean DupuisJD

Jean Dupuis

Data Engineer | ML | DevOps | Cloud | AWS | GCP

€750/day
4 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Jean

Data & Cloud Engineer | Big Data Platform Architect | DevOps & ML

With several years of experience in Data Engineering, I design and deploy robust and scalable data platforms on AWS, GCP, and Azure.

Specializing in distributed systems and real-time data processing, I support my clients on strategic projects with an efficient and pragmatic approach.

What I can do for you:
✅ Development & Industrialization: Complex data pipelines with Apache Spark, Kafka, Flink, Airflow, DBT.
✅ Architecture & Cloud: Setting up scalable infrastructures on GCP, AWS, Azure with Terraform, Kubernetes, KNative
✅ Optimization & Performance: Reducing costs and improving the performance of your Big Data & Machine Learning processes
✅ DevOps & Automation: CI/CD, Infrastructure as Code, Monitoring, advanced observability.
✅ Data & AI: Integration and industrialization of ML models in cloud & production-ready environments.

👨‍💻 Key Skills:
- Languages: Python (expert), Scala, Java, Go
- Cloud & Containers: Kubernetes, Docker, Serverless
- Big Data & Streaming: Spark, Kafka, Flink
- Infra & DevOps: Terraform, GitOps, CI/CD
  • French

    Native or bilingual

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Bulb Energy
    PRINCIPAL DATA ENGINEER
    ENERGY AND UTILITIES
    January 2022 - Today (4 years and 7 months)
    London, United Kingdom
    • Architected and built a scalable serverless multi-tenant GCP data platform on BigQuery to enable teams to get real-time
    access to data, implemented many ingestion pipelines using Dataflow, Pub/Sub, Fivetran, Airflow, Kafka, DBT, Terraform.
    • Managed a team of 3 data engineers, reported to external stakeholders, managed comms with external teams.
    • Created DevOps processes, chaos engineering, and DR planning.
    • Provided DBT/Terraform/Spark/Airflow training to data engineering teams, and organization-wide.
    • Built and evolved an idempotent CI/CD pipeline using CircleCI/ArgoCD.
    DBT Terraform CircleCI ArgoCD Kubernetes BigQuery GCP Airflow Apache Spark Python AWS Glue Apache Kafka Dataflow Fivetran Pub/Sub

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Education

  • CS201: Advanced Deep learning
    Stanford
    2018
  • Masters degree in Computer Science Engineering
    Université Paris Diderot
    2017

Certifications

Skill set

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