Quentin Nambot is a Cloud Data Engineer and Software Engineer based in Lyon with eight years of experience building cloud-native data platforms. Currently at OVHcloud and concurrently teaching Infrastructure as Code and end-to-end data projects to master's students at ESGI, he blends hands-on platform work with mentorship. He has led the design and implementation of datalakes and a health data warehouse (EDS), deploying Airflow, Trino, Superset and Hive on Kubernetes and refactoring infrastructures with Terraform and Terragrunt. Quentin also drives developer productivity by creating internal Python packages and robust GitLab CI pipelines (ruff/mypy/pytest/sonarqube) while applying FinOps to optimize cloud costs. His Ensimag engineering background and a Mastère in Big Data give him a pragmatic, architecture-first approach to delivering production-grade data solutions.
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
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