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Paul Edmond FoumanePE

Paul Edmond Foumane

Cloud Data Engineer

€700/day
Corbeil-Essonnes, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Paul Edmond

I am a technical expert specializing in the design, construction, and optimization of cloud data platforms, with over 7 years of experience. My goal is to deliver architectures that combine performance, controlled costs, and scalability, by applying DevOps best practices.

Key Areas of Expertise:

- End-to-End Data Engineering: Design and development of data pipelines (streaming & batch) with tools like Apache Spark, Airflow, dbt. Proficiency in Python, SQL.

- Scalable Data Architecture: Design of modern solutions (Data Mesh, Data Lakehouse, Data Vault) on GCP, Azure, or AWS. Expertise in data modeling and governance.

- Cloud & DevOps: Automation and industrialization through Infrastructure as Code (Terraform) and containerization (Docker, Kubernetes). Implementation of dedicated CI/CD pipelines for data projects (testing, deployment, monitoring).
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Corbeil-Essonnes (up to 50km), Paris (up to 10km)

Experience

  • EDF
    SysOps Data
    ENERGY AND UTILITIES
    May 2025 - Today (1 year and 3 months)
    Nanterre, France
    As part of its digital transformation strategy, EDF wishes to consolidate its data within a unified Group Data Platform (PDG) on Google Cloud Platform (GCP), in order to meet the growing needs of businesses in terms of data valorization and governance. The mission consists of designing and implementing a cloud-native, secure, and industrializable application foundation, enabling the hosting of use cases from various business entities.

    Missions:
    ● Study of SCC (Security Command Center)
    ● Traceability of Deny access and other types of logs in the GCP console
    ● Study and implementation of code scanning tools on Gitlab EE (SonarQube, Kics, CheckMarx..)
    ● Automation of BigQuery and Cloud Storage data backups for Operations via cloud composer
    ● Partial restoration of BigQuery and Cloud Storage data backups for operations
    ● Dataform labeling
    ● Expose APIs with Ingress and load balancers managed by GKE
    ● Deployment of GKE (Google Kubernetes Engine) workers that consume messages from Pub/Sub, Kafka, or BigQuery
    ● Infrastructure deployment via Terraform
    Google Kubernetes Engine (GKE) Terraform Dataplex GCP DevOps Gitlab CI/CD
  • CARTIER
    Data Engineer
    LUXURY GOODS
    June 2024 - May 2025 (11 months)
    Paris, France
    Cartier Joaillerie is a globally recognized luxury jewelry company. It has a digital team working on internal products distributed in squads. The squads develop web applications to meet the needs of jewelry manufacturing for various Cartier entities. To meet business analysis and application needs, a Data team of 5 people has been established around the GCP platform.

    Missions:
    ● Data Architecture Optimization
    ● Implementation of Data use cases with DBT
    ● Setup of ingestion DAGs with Cloud Composer (Python, spark)
    ● Relational data modeling on BigQuery and exposure on Power BI
    ● Setup of the CI/CD chain with gitlab CI
    ● Infrastructure deployment with Terraform
    ● Export of Amplitude data to BigQuery with Dataflow
    Python SQL DBT Terraform BigQuery
  • BEL
    Data Architect
    RETAIL (LARGE RETAILERS)
    July 2022 - June 2024 (1 year and 11 months)
    Suresnes, France
    Bel is a French industrial company. In a context of growing environmental and social challenges, Bel is accelerating its transformation towards a model that respects planetary boundaries and strengthens its commitments to sustainability and inclusion; hence the launch of its new sustainable development program "Décibel Platform". Within a team of 5 people, my mission was to set up a Data Platform on GCP for the non-financial reporting management tool.

    Missions:
    ● Data Architecture Design
    ● Implementation of Data use cases with DBT
    ● Deployment of Machine Learning models and AI applications on BigQueryML and Vertex AI
    ● Relational data modeling on BigQuery and exposure on Power BI
    ● Management of NoSQL data on Datastore
    ● Orchestration with Cloud Composer (Airflow)
    ● Setup of the CI/CD chain with gitlab CI and Terraform
    ● Application containerization with Docker and Kubernetes (GKE)
    ● Implementation of tests in the CI/CD chain
    Google Cloud Platform BigQuery DBT Terraform SQL

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Education

  • DUT, Systems and Networks
    African Institute of Computer Science
    2013
    DUT en Systèmes et Réseaux
  • Integrated preparatory classes
    ESIEA - School of Engineering in Digital Science and Technology
    2015
    Classes préparatoires intégrées

Certifications

Skill set (47)

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