Summary
Maxime Lemaitre is a pragmatic Data Engineer with 12+ years of professional experience and a 15+ year background across backend engineering, DevOps, and data engineering, currently building modern data platforms from Paris. He designs and implements scalable ETL/ELT pipelines and orchestration (Airflow, dbt, DLT) and architects hybrid batch/stream platforms with an emphasis on maintainability, observability, and cost efficiency. Maxime has repeatedly led migrations from legacy stacks to cloud-first analytics platforms, cut cloud costs (notably a 40% AWS reduction at MadKudu), and improved pipeline reliability by fixing hundreds of data issues. He pairs hands-on implementation—building customer-facing data products and streaming ingestion—with team enablement, mentoring, and cross-functional collaboration. Comfortable operating both as an individual contributor and a staff/lead engineer, he excels at translating product needs into auditable, production-ready data infrastructures. He stays current with the evolving data ecosystem and prefers pragmatic, testable solutions that scale with the business.
12 years of coding experience
19 years of employment as a software developer
Master's degree Telecommunications Engineering, Master's degree Telecommunications Engineering at Institut supérieur d'électronique et du numérique
English, French