Freelancer profile translated to English.
Back to original languageAbout Tom
Data Engineer with 6 years of experience, I design and deploy robust and scalable Data Platforms on GCP and AWS, applying software engineering standards (CI/CD, tests, code quality, Infrastructure as Code).
I can join your teams on a contractual basis or work autonomously on your project — from requirements gathering to production deployment.
Data Engineering & Architecture
- Design and deployment of Data Platforms (Data Warehouse, Data Lake, Lakehouse)
- Implementation of Semantic Layers on dbt
- Data Modeling (dimensional, Data Vault, relational schemas)
- EL / ETL / ELT pipeline development
- Automated Data Quality and Monitoring (alerting, SLA, observability)
- Connection to BI and reporting tools
Software Engineering & DevOps
- CI/CD: Github Actions, GCP Cloud Build, Jenkins
- Automated tests and Code Quality (linting, coverage, pre-commit hooks)
- API development and deployment (FastAPI, REST)
- Python connector and script development
Cloud & Infrastructure (GCP · AWS)
- Cloud migration to GCP or AWS (audit, planning, execution)
- Infrastructure as Code using Terraform
- Deployment and operation of data solutions: Airflow, Airbyte, Prefect, dbt, Spark, Kafka
- GCP Services: BigQuery, Cloud Run, GKE, Cloud Build, Cloud SQL, Cloud Storage, Pub/Sub, IAM & Service Accounts
- AWS Services: S3, RDS, EC2, ECS, Lambda, Glue, Redshift
French
Native or bilingual
English
Native or bilingual
Spanish
Native or bilingual
Catalan
Fluent
Portuguese
Fluent
Can work on-site
Paris 10e Arrondissement (up to 50km)
Experience
- AMI PARISData EngineerFASHION AND COSMETICSJanuary 2026 - Today (5 months)Paris, France
- Development of Airflow pipelines for operational use, feeding demand forecasting and business planning models with more granular and reliable data
- Development and maintenance of dbt models on Snowflake
- Implementation of a Semantic Layer on dbt
- Owkin FranceData / ML EngineerBIOTECHMarch 2024 - October 2025 (1 year and 7 months)
- Dockerization and deployment of 6 Machine Learning pipelines performing quality checks on medical data, orchestrated via Argo Workflows
- Implementation of software development best practices on 6 ML pipelines: CI, unit and end-to-end tests, alerting, resource optimization
- Development of data ingestion scripts from SFTP servers to S3
- Setup of a dbt and Snowflake environment from scratch to monitor and analyze the quality of data received from partner health centers
- ModeoData Engineer / Python Backend DeveloperSOFTWARE PUBLISHINGMay 2023 - March 2024 (10 months)Paris, France
- Participation in the backend data model design
- Setup and management of the backend infrastructure on GCP (Cloud Run, cloudSQL, Cloud Build, Pub/Sub, Service Accounts, IAM
- management) via Terraform
- Implementation of the backend API (CRUD operations, SSO)
- Development of a CI/CD on Cloud Build automating API deployment to Cloud Run on each push to the main branch
- Development of the registration email sending endpoint via Pub/Sub
- Development of specific endpoints for the Data Engineer team
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Education
- Master in Data ScienceCentraleSupélec2020Master of Science - MS, Data Science
- Bachelor's degree , Civil EngineeringEPFL (Swiss Federal Institute of Technology Lausanne)2018Bachelor's degree , Génie civil