Adrián Martínez is a Data Engineer with 10 years of experience building scalable, production-grade data platforms and pipelines across AWS, Azure, GCP, Databricks and Kubernetes. He has led end-to-end platform efforts—designing a company-wide AWS + Databricks stack at Woven by Toyota, implementing a Kafka ingestion SDK with Rust bindings for multiple languages, and driving self-service, data-mesh practices that increased adoption from zero to company-wide. Comfortable across infrastructure-as-code, CI/CD, ETL optimization and observability, he pairs pragmatic engineering with developer-first tooling and governance (data contracts, naming conventions, SDKs). Based in Tokyo and also studying Japanese, he blends a global, cross-functional mindset with hands-on mentoring and a knack for turning complex integrations into easy-to-use developer experiences.
10 years of coding experience
5 years of employment as a software developer
Engineer Grade, Computer Science, Engineer Grade, Computer Science at Universidad Europea
Contributions:9 releases, 183 PRs, 215 pushes in 2 years 9 months
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