Sofiene Khemis is a Senior Data Engineer based in Paris with 9 years of experience building cloud-native data platforms and pipelines, primarily on Google Cloud Platform. He designs and deploys scalable ingestion and transformation workflows using Cloud Run, Cloud Functions, Dataflow/Spark and dbt, while standardizing infrastructure with Terraform and promoting IaC best practices. His background in Java microservices and Spring Boot (from government and enterprise projects) informs a pragmatic approach to API design, security and production readiness. Sofiene contributes across the delivery lifecycle—CI/CD, monitoring, troubleshooting and developer enablement—often optimizing cloud costs and workstations to boost team productivity. He combines strong academic grounding in secure programming with hands-on experience in regulated public-sector environments, making him adept at turning complex requirements into auditable, reliable data solutions. An attention to cross-team knowledge sharing and code review culture helps him scale impact beyond individual projects.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Programmation et logiciels sûrs, Master's degree, Programmation et logiciels sûrs at Université Sorbonne Paris Nord
Licence, Systèmes informatiques et logiciels, Licence, Systèmes informatiques et logiciels at ISIMM | Higher Institute of Computer Science and Mathematics of Monastir
Code for Hands-on CI/CD for Spring Boot applications using GitHub Actions and AWS Tutorial
Contributions:37 commits, 35 pushes, 3 branches in 17 days
awscicdspringspring-bootjava
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