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Hedi B.

Data engineer GCP/AWS

    TJM
    À partir de 350 €/jour
    Localisation
    Paris · Full remote
    Langues
    Français

    Disponible immédiatement · 1 ans d'expérience

    Compétences

    • Python5/5
    • GCP5/5
    • Terraform5/5
    • BigQuery5/5
    • AWS5/5
    • Docker5/5
    • SQL5/5
    • FastAPI5/5
    • Azure5/5
    • CI/CD5/5
    • Airflow5/5
    • Django4/5
    • PostgreSQL4/5
    • Azure DevOps4/5
    • dbt4/5
    • RAG4/5
    • Git5/5
    • GitLab CI5/5
    • NLP4/5
    • TensorFlow4/5
    • Snowflake3/5
    • Spark3/5
    • Kafka3/5
    • Talend3/5

    Spécialités

      Expériences

      1. Data & Cloud Engineer (AWS)

        September 2026 — Present

        • Freelance • Client Project – Jedid | AWS • AWS (S3, Athena, ECS, ECR), Docker, FastAPI, PostgreSQL • Deployed the platform to production on AWS with Docker, ECS and ECR, and set up the cloud environments end to end. • Designed a daily pipeline exporting the plugin’s PostgreSQL data to S3, made queryable with Athena. • Implemented automated data quality checks: missing IDs, duplicates, failed jobs and late webhooks. • Maintain and evolve the platform: diagnosing incidents and shipping fixes and improvements to production.

        • PostgreSQL
        • FastAPI
        • AWS
        • Docker
      2. Data Engineer Intern (GCP)

        March 2026 — August 2026

        • SFEIR Paris • Paris, France • Client Project – GALEC / Leclerc • Stack: GCP, BigQuery, SQL, dbt, Python, Airflow (Cloud Composer), Terraform, Azure DevOps, Git • Optimised SQL queries on production BigQuery tables of several hundred million rows, feeding business dashboards. • Developed Python-based Airflow (Cloud Composer) DAGs for large-scale ingestion and processing, with dependency management and failure recovery. • Delivered CI/CD pipelines with Terraform and Azure DevOps across 4 Terraform projects, for reliable dev/prod deployments through Git workflows. • Internal Project – Dashboard Automation • Stack: GCP, Python, dltHub, Docker, Cloud Run, Terraform, BigQuery, Dataform, CI/CD • Built multi-source API ingestion pipelines in Python with dltHub, containerised with Docker, deployed on Cloud Run and provisioned with Terraform. • Automated deployments with CI/CD, from Terraform validation to environment rollout. • Modelled and transformed data in BigQuery with Dataform (SQL), improving the platform’s data reliability. • Web Development & AI Intern • July – August 2025 • Inoteqia • Tunis, Tunisia • Stack: Python, Django, FastAPI, RAG, NLP • Developed the Python backend of a web application and integrated AI features (RAG, conversational agents) with Django and FastAPI in Elokencia, an AI meeting assistant.

        • Python
        • Django
        • FastAPI
        • Azure
        • GCP
        • Docker
        • Terraform
        • CI/CD
        • Azure DevOps
        • SQL