Summary
Yassine Bareche is a Senior Data Backend Engineer based in Paris with 8 years of experience designing and operationalizing scalable data platforms across automotive, retail, and telecom. He builds resilient streaming and batch pipelines using Spark, Beam, Kafka and cloud-native services (GCP, Azure), and has hands-on experience migrating legacy systems to modern microservices and BigQuery-backed architectures. At Renault and Carrefour he focused on real-time data exposure, cost-optimized BigQuery design, and improving distributed processing (shuffle, skew, parallelism) for production workloads. He pairs strong backend skills in Java/Scala/Python and Spring Boot with DevOps practices—Terraform, GKE, Vault, Airflow—to deliver end-to-end, observable data products. Notably, he blends data engineering with systems-level know-how (multi-threaded Java, network programming, Linux/Bash), enabling pragmatic performance tuning and operational resilience. Trained in data engineering and AI, he excels at turning complex business requirements into maintainable, high-throughput data solutions.
8 years of coding experience
5 years of employment as a software developer
Engineering Degree in Computer Science, Computer Software Engineering, Engineering Degree in Computer Science, Computer Software Engineering at Ecole nationale Superieure d'Informatique (ESI)
Master's degree, Data Engineering and AI, Master's degree, Data Engineering and AI at Pierre and Marie Curie University