Simon Dubois is a data engineer and Python back-end specialist with nearly a decade of experience designing cloud-native data architectures and pipelines across Azure and AWS. A freelance practitioner since 2018, he has delivered end-to-end solutions—data warehouses, ELT/ETL pipelines, APIs and KPI dashboards—for industries ranging from IoT and telecom to cosmetics. He builds reliable orchestration and monitoring (Argo Workflows, Airflow, DBT, Elementary) and has implemented visualization and operational dashboards with Metabase to turn engineering signals into business insights. At TAG Heuer he combined backend API design (Flask, Protobuf) with automated CI/CD on Azure, while earlier roles show breadth in microservices, real-time streaming (Kinesis) and speed/batch layer architectures. Now based in Liège and working as a database administrator at Safran, he brings both hands-on coding and production-grade data ops experience to stabilize and scale systems. Colleagues value his blend of practical tooling choices and the ability to translate data needs into observable, shipped products.
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