Matthew Venz is a Staff Data Engineer at Zendesk with eight years of professional experience and a decade-plus background in Scala and functional programming dating back to 2010. He specializes in data ingestion and stream processing—having built production pipelines with Akka, Spark, Kafka, Lambda and AWS services—and advocates for event streams as the source of truth. Matthew combines pragmatic engineering discipline with strong attention to maintainability and type-level techniques (Shapeless) to make data processing both robust and adaptable. His career spans consultative and in-house roles across fintech, games, and large online platforms, and a four-year stint living and working in Japan that sharpened his communication and cross-cultural collaboration. Colleagues rely on him to tame complex data flows and deliver solutions that reduce long-term operational friction.
8 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Monash University
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