About

Arpit Dubey is an experienced Engineering Manager at Amazon with a passion for building large-scale distributed applications and event-driven, real-time systems. With over 15 years of relevant experience in the field, Arpit has worked with a range of cutting-edge technologies, including Kafka, ElasticSearch, Druid, Cassandra, Redis, Graph Engine, Presto, Spark, Hadoop, and the NoSQL ecosystem. At Amazon, Arpit is currently focused on building and managing a large-scale event streaming service that enables event-driven architecture. He is also responsible for envisioning the enterprise data strategy, roadmap, and architecture. Prior to joining Amazon, Arpit served as VP of Big Data Platform Architecture at DBS Bank, where he led the architecture and implementation of a large-scale tier-1 Big Data platform-as-a-service using open-source distributed technology. Arpit is a hands-on developer and operations expert with a passion for building high-performance, scalable systems. He has spoken at several industry conferences, including the Kafka Summit and Druid Summit, and is a technical reviewer of two books on distributed systems published by Packt. Arpit is also an experienced software engineer and senior software engineer, with a Bachelor of Engineering degree in Computer Engineering from IET. Arpit's technical skills and experience make him an ideal candidate for any organization looking to build large-scale distributed systems or event-driven architectures. He is passionate about mentoring and hiring software developers, and his expertise in relevant technologies makes him a valuable asset to any team.