Freelancer profile translated to English.
Back to original languageAbout Serigne
Data Engineer/Data Scientist for over 8 years, blogger, trainer, and entrepreneur.
I have carried out numerous missions as a freelancer and worked for large groups such as Accor and Orange Business Services.
I have a dual expertise in Statistics and Computer Science, complemented by business knowledge and professional practice acquired through several internships, work-study programs, and missions as a consultant and freelancer.
After solid training in Data Engineering and Data Science, I have gained extensive experience in data engineering, covering all aspects: from collection to statistical analysis and machine learning, including storage and management of massive, distributed big data databases.
I have a strong desire to learn, take initiative, and a capacity to collaborate effectively in a team environment.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- RenaultTech Lead Data EngineerAUTOMOBILEAugust 2022 - July 2024 (1 year and 11 months)Boulogne-Billancourt, France- Implementation of integration and deployment pipelines on GCP- Administration, configuration, and deployment of workflows via Airflow DAGs- Evolutionary maintenance of the DataLake platform- Development of data pipelines from the Datalake (SQL, Python, Dataproc, Airflow, etc.)- Third-party application maintenance in CI/CD- Development of new modules and integration of new data flows- Ensuring DevOps activities for continuous integration and deployment- Implementation and administration of Data Quality and Monitoring
- Dior CoutureDevOps / Cloud Data EngineerLUXURY GOODSMarch 2022 - August 2022 (5 months)Paris, France- Configuration and deployment of workflows on the Kubernetes platform- Development of new modules and integration of new flows- Ensuring DevOps activities for continuous integration and deployment- Unit, regression, component, and performance testing
- Ma Vie En CouleursDevOps / Cloud Data EngineerFebruary 2022 - March 2022 (2 months)Paris, France- Implementation of deployment pipelines on Azure DevOps- Administration, configuration, and deployment of workflows on the Kubernetes platform- Evolutionary maintenance of the CDIL platform- TMA in CI/CD, Development of new modules and integration of new flows- Ensuring DevOps activities for continuous integration and deployment
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Education
- CMI Statistics and Decision-Making IT, Data EngineeringUniversité Paul Sabatier (Toulouse III)2019CMI Statistiques et Informatiques Décisionnelles, Ingénierie des données
- L2 Mathematics, MathematicsUniversité de Montpellier2016L2 Mathématiques, Mathématiques