Freelancer profile translated to English.
Back to original languageAbout Guillaume
Senior Data Engineer with over 8 years of experience;
1 year at Sanofi's accelerator
4 years at Vestiaire Collective, a French scale-up/unicorn
3 years at Atos
I am based in Paris. 🏡
- Available in the Paris region for on-site work.
- Available throughout France for remote work. 🇫🇷
Here are some examples of what I can do for you:
- Maintain data platforms (pipelines, infrastructure) for existing platforms.
- Design and implement scalable data platforms on your AWS, GCP, AZURE clouds
- Create data pipelines
- Orchestration
- Databases. Data Warehouse
- EL / ETL / ELT pipelines
- Modeling (dbt)
- Data Lake and staging area
- Automation of Data Quality Management / Monitoring
- Production deployment of Machine Learning models
- Connection to your reporting tools and other BI solutions
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 20km)
Experience
- Sanofi - Digital AcceleratorsSenior Data EngineerPHARMACEUTICALS INDUSTRYSeptember 2025 - Today (11 months)Senior Data Engineer at Sanofi's Accelerator — design and implementation of a scalable data platform and architecture to support analytics, product insights, and R&D operations.
- Vestiaire CollectiveSenior Data EngineerE-COMMERCENovember 2021 - August 2025 (3 years and 9 months)Paris, France🦄 French Unicorn 🦄Senior Data Engineer for the Marketing + DataOps teamAs a Senior Data Engineer at Vestiaire Collective, I focus on two main areas.The first concerns the data platform, where I manage the scaling, evolution, and reliability of tools related to cloud infrastructure and data operations.The second focuses on all the company's Marketing data: I am responsible for their ingestion, transformation, and exposure, as well as managing associated marketing data tools (tracking, CRM, attribution, etc.).Projects completed:Dedicated Airflow for CRMs: I developed and deployed a dedicated Airflow instance to meet CRM needs. This system generates real-time DAGs based on data from a five-column database. CRMs simply need to populate this table to generate the pipelines they require. These DAGs trigger their email campaigns.Product P0 Pipeline Overhaul: I refactored the company's entire product pipeline using DBT (Data Build Tool). This revision resulted in optimized data processing, improved data quality, and enhanced analytical capabilities. We went from a 4-hour refresh to a 20-minute refresh (+36 million products and 500 columns).Internal API Development: I developed an internal API for the organization, improving data accessibility and enabling seamless data integration across various departments.DataOps Contributions:- Deployment and industrialization of Airflow and dbt,- Implementation of a complete CI/CD for data pipelines,- Management of IAM policies, roles, and permissions via Terraform,- Containerization of critical components with Docker, ensuring a stable and reproducible environment.
- JedhaData TeacherEDUCATION AND E-LEARNINGFebruary 2023 - Today (3 years and 5 months)Paris, FranceAs a Jedha Data Teacher, I train students on everything related to data. I am quite skilled in data pipelines, tools, marketing, visualization, and data analysis. I have the opportunity to give tailor-made courses for those who want to become data analysts or data engineers. In my courses, we cover essential topics such as programming with Python, how to create data models, and how to manage data pipelines.
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Education
- IT and Information System Expert, Computer ScienceBordeaux Ynov Campus2019IT and Information System Expert, Informatique
Certifications
- Deep Learning SpecializationCoursera2019