Quentin Nambot is a Cloud Data Engineer with eight years of experience building data platforms and pipelines, currently developing the Lakehouse service for OVHcloud's Data Platform. He has driven data architecture and cost optimization across AWS, Kubernetes, Terraform and Spark in both startup and enterprise contexts, and helped establish Data Mesh and FinOps practices at Bedrock Streaming. Quentin also teaches advanced cloud, IaC and functional programming courses for master's students, translating production lessons into practical curricula and project supervision. Known for shipping robust CI/CD, internal Python packages and reusable project templates, he pairs hands-on implementation with documentation and tooling to raise team engineering standards. Based in Lyon, he blends deep Big Data expertise with a knack for pragmatic operationalization and knowledge transfer.
8 years of coding experience
7 years of employment as a software developer
Mastère spécialisé Big Data, Data, Mastère spécialisé Big Data, Data at Grenoble Ecole de Management
Contributions:2 releases, 8 reviews, 6 PRs in 11 months
testingscalaspark
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