Germain Tanguy is a Senior Data Engineer based in Paris with 11 years of experience building large-scale data and ML pipelines across streaming and cloud-native environments. He has progressed from hands-on Hadoop and Spark work to designing idempotent analytics and production ML workflows using Apache Beam, Dataflow, Airflow, Kubernetes and BigQuery, and now contributes at scale within Spotify. Known for pairing data engineering rigor with pragmatic tooling, he has led teams and produced reusable platform components while collaborating closely with data scientists and analysts. An international background including study in Chile and early work deploying Hadoop on EC2 hints at both operational fluency and a willingness to dive into lower-level infrastructure when needed.
11 years of coding experience
7 years of employment as a software developer
Exchange program 6months - CHILE, Computer Engineering, Exchange program 6months - CHILE, Computer Engineering at Universidad Arturo Prat
Computer engineering, Computer engineering at Université de Technologie de Compiègne
DUT Network and telecommuncations, DUT Network and telecommuncations at IUT Belfort Montbéliard
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