Summary
Chris Gerken is a Principal software engineer with over 12 years focused on Big Data architectures and more than three decades of overall engineering experience, specializing in low-latency, scalable ingestion pipelines, streaming analytics and model-driven tooling. He designs and builds production Flink/Storm topologies, Kafka persistence layers, Hadoop workflows and NoSQL integrations across travel, finance, health, IoT and energy domains, and has repeatedly shrunk development cycles with code-generation tooling. As founder of Gerken Intellectual Properties he delivered open-source generators that produce up to 95% of Hadoop, Cassandra, Storm, Elasticsearch and Kafka application code and visual workflow documentation, accelerating map-reduce development from months to days. Chris blends deep Java and Eclipse tooling expertise with a patterns-first approach to architecture, mentoring teams to apply repeatable best practices. Based in Valencia, Spain, he couples hands-on engineering with research and consulting, often creating bespoke developer platforms that bridge legacy systems and modern middleware. An unusual strength is his history of shipping both low-level runtime components and high-level model-driven generators, enabling both operational performance and developer productivity.
12 years of coding experience
24 years of employment as a software developer
Bachelor of Arts Computer Science and Mathematical Sciences, Bachelor of Arts Computer Science and Mathematical Sciences at Rice University