Summary
Clement Demonchy is a senior data engineer with 11 years of experience building resilient, cost-conscious data platforms across cloud providers from Paris. He has led small teams and shipped end-to-end solutions—CDC pipelines with Debezium into Iceberg, Databricks migrations, EMR PySpark mirrors, and production REST APIs for EVSE data—while automating CI/CD and infra with GitHub Actions, Terraform, ArgoCD and Crossplane. Comfortable across AWS, GCP and Azure, he pairs hands-on engineering with finops instincts, having reduced Lambda costs by fivefold through caching and batching optimizations. At Skillup he introduced engineering rituals and testing standards that made the team more autonomous and resilient, and he has deep experience integrating ML workflows (SageMaker, DLT, Spark) into data products. Pragmatic and detail-oriented, he documents and exposes workflows for observability (Grafana, CloudWatch, PostgreSQL metrics) and emphasizes reproducible, testable pipelines. Outside obvious tech stacks, he’s adept at reconciling complex customer imports and building tooling to simplify non-technical workflows.
11 years of coding experience
9 years of employment as a software developer
Master 2 (M2), Systèmes intelligents distribués, Master 2 (M2), Systèmes intelligents distribués at CY Cergy Paris Université
French, English