About Mouhamadou Lamine Sékou
- Design and optimization of ETL / ELT pipelines with BigQuery, dbt, and Dataform
- Orchestration of workflows and data pipelines with Airflow / Cloud Composer
- Implementation of real-time architectures with Dataflow, Pub/Sub, and BigQuery
- Batch and micro-batch ingestion via Cloud Functions and serverless services
- Deployment of analytical solutions and dashboards with Looker, Data Studio, and Power BI
- Industrialization and deployment of Machine Learning models with MLflow
- Implementation of best practices around security, governance, scalability, and Cloud cost management
French
Native or bilingual
English
Native or bilingual
Experience
- Le Groupe BelTech Lead Data PlatformAGRICULTURENovember 2024 - Today (1 year and 7 months)Suresnes, FranceI act as Tech Lead Data on the GCP Data & Analytics platform.I support a team of Data Engineers in the design, industrialization, and evolution of data solutions, with both a strategic and hands-on approach.My main responsibilities:
- Architecture and development of data pipelines on GCP (BigQuery, Airflow / Composer, Dataflow, Cloud Run…)
- Technical leadership and coaching of Data Engineers
- Implementation of CI/CD, governance, and observability best practices
- Collaboration with business teams and partners on data & analytics topics
- Optimization of performance, scalability, and Cloud costs
- La RedouteSenior Data ArchitectE-COMMERCEJuly 2023 - October 2024 (1 year and 3 months)Paris, FranceI acted as Data Architect on GCP data platform modernization and industrialization projects.I support teams in the design and implementation of data pipelines and exchanges with internal and external partners, with a very hands-on approach.My main responsibilities:Architecture and development of data pipelines on GCP (BigQuery, Dataflow, Cloud Functions, Airflow / Composer)Migration and industrialization of data flows to the CloudImplementation of data models and batch / real-time pipelinesSupport for teams on Data & Cloud best practicesTechnical scoping and collaboration with business and data partner teams
- Axionable (Canada)Consultant Senior Data Architect/ Data EngineerDIGITAL AND ITJune 2021 - October 2022 (1 year and 4 months)Montreal, QC, CanadaAxionable's mission is to assist companies in creating sustainable value via responsible AI / Data, with positive and measurable impacts for their business and the society as a whole. We develop meaningful, purpose oriented data & AI product with our clients as well as a diverse ecosystem including universities, NGOs and governments.
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Education
- Master, Applied StatisticsUniversité Pierre et Marie Curie (Paris VI)2017Master, Statistiques appliquées
- Bachelor, MathematicsUniversité Pierre et Marie Curie (Paris VI)2015Licence, Mathématiques
Certifications
- Google Cloud Professional Data EngineerGoogle2022