Summary
Arun Suresh is a Principal MTS with 17 years of experience designing, building, and operating large-scale distributed systems and big data infrastructure across Microsoft, Oracle, Salesforce and other enterprises. He has led architecture and control-plane designs for data lakes, multi-cloud networking, and storage systems, with deep hands-on expertise in Hadoop/YARN, Azure Data Lake, Delta/Iceberg table formats, and RBAC for large analytics workloads. Arun’s work spans both data plane and control plane concerns—delivering networking and gateway control planes for multi-cloud integrations as well as storage overlays that provide file-system semantics on object stores. He combines systems-level languages and runtimes (Java, Erlang) with cloud-native practices (containers, orchestration) to solve high-scale concurrency and throughput challenges. Based in Redmond, he’s known for contributing performance and scheduling improvements back to the Hadoop community and for translating research-grade solutions into production services used at exabyte scale.
17 years of coding experience
10 years of employment as a software developer
B Tech Electronics and Telecommunication, B Tech Electronics and Telecommunication at National Institute of Technology Calicut
English, Malayalam, Hindi