Guillaume Assogba
Data Engineering & Data Ops Faction Lead
Brussels, Belgium
Summary
👤
Senior🎓
Top SchoolGuillaume Assogba is a Data Engineering and DataOps faction lead based in Brussels with eight years of experience building and operationalizing large-scale data platforms across pharma and retail. He combines dual MSc training from Swansea University and Centrale Nantes with hands-on expertise in streaming architectures, Snowflake migrations, Kubernetes orchestration, and data science model industrialization. At Orange Business and Business & Decision he has led real-time warehousing, data ingestion pipelines, and containerized deployments while also running a Data Academy to upskill teams. He is particularly strong in Kubernetes setup, deployment and monitoring and in optimizing ETL and streaming jobs for production reliability. Guillaume’s background spans IoT, chatbot prototyping, and even blockchain research, reflecting a habit of prototyping emerging tech alongside delivering enterprise data solutions. Colleagues describe him as a pragmatic leader who bridges deep engineering skills with coaching and operational rigor.
8 years of coding experience
7 years of employment as a software developer
Linux Foundation Training Kubernetes, Linux Foundation Training Kubernetes at LFD459: Kubernetes for App DevelopersMaster of Science - MS Advanced Computer Science, Master of Science - MS Advanced Computer Science at Swansea UniversityMaster of Engineering (MEng) Computer Science and Engineering, Master of Engineering (MEng) Computer Science and Engineering at Centrale NantesFrench secondary diploma mathematics physics and biology, French secondary diploma mathematics physics and biology at Sport high school (Henri DARRAS) specialized in Basketball
English, French, Spanish
Github Skills (3)
python3
machine-learning2
machine-learning-algorithms2
Github contributions (1)
guillaumeAssogba/sport_movements_analysis
Jul 2017 - Nov 2017
Contributions:13 commits, 11 PRs, 19 pushes in 3 months
scientistspythonmovementsmachine-learning-algorithmsmachine-learning
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