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Amaury LangeAL

Amaury Lange

Certified GCP Data Engineer | Industrialization

€520/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Amaury

Certified GCP Data Engineer, passionate about automation and performance, I have designed and industrialized data platforms for clients such as Qualcomm, URSSAF, and Crédit Agricole.
I work on cloud migration (GCP, Azure), ETL/ELT pipeline development (PySpark, Apache Beam, Kafka, BigQuery), and infrastructure as code (Terraform, CI/CD, Ansible).

My skill set covers cloud architecture, monitoring (Grafana, Prometheus), IAM security, data governance, and FinOps optimization (-40% Cloud costs at Qualcomm).
I bring both technical and strategic vision, translating business needs into performant, scalable, and secure data solutions.
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 10km), Lyon (up to 10km)

Experience

  • Urssaf
    Data Engineer
    September 2025 - February 2026 (5 months)
    • Maintenance and evolution of ELT (Extract, Transform, Load) pipelines in PySpark and Oozie for processing tens of millions of DSN (Social Nominative Declarations).
    Python Apache Spark Oozie Cloudera Jenkins
  • LittleBigCode
    Data Engineer
    January 2025 - Today (1 year and 5 months)
    Paris, France
    • Developed an RAG engine and an LLM chatbot in Python (LangChain, OpenAI API) with requirements analysis and Agile backlog management, exposed via REST API Django.

    • Industrialized deployment on Azure via Terraform (Infrastructure as Code) integrating PostgreSQL with vector extensions for embeddings storage and Mistral OCR for document processing, with CI/CD pipeline for reproducible and secure deployments.
    Python Terraform Microsoft Azure RAG API
  • Qualcomm
    Data Engineer
    January 2024 - September 2024 (8 months)
    Cork, Ireland
    • Architected and led the complete migration of a Data Platform to GCP by defining the target architecture (landing/processing/serving zones), the IAM strategy, and resource sizing (Dataproc, GKE (Kubernetes) Cloud Storage, BigQuery Data Warehouse), reducing operational costs by 40%.
    • Communicated and presented Data Warehouse migration plans to non-technical stakeholders over 6 months, ensuring alignment between business and technical teams.
    • Designed and deployed real-time data pipelines with Apache Kafka and Apache Beam (Python) to consolidate security data into BigQuery.
    • Orchestrated ETL/ELT workflows via Dagster with integration of Unity Catalog governance for metadata management.
    Google Cloud Python Big Query Migration Apache Kafka

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Education

  • Master in Data Engineering
    EPF Engineering School
    2024
    Master en Data engineering
  • Computer Science Bachelor's Degree
    UVSQ
    2022
    Licence en Informatique

Certifications

Skill set

Categories