Tom Scott is the Founder and CEO of Streambased and a long-time contributor to the Apache Kafka and data streaming community. Previously at Confluent, Tom has spent much of his career working with Kafka, distributed systems and modern data infrastructure.

Today, he is focused on bringing streaming and analytical data closer together, particularly through the combination of Apache Kafka and Apache Iceberg.

Tom is an active community speaker, presenting at Kafka and real-time data meetups in London and at industry events including Confluent Current. He also writes regularly on LinkedIn about Kafka, Iceberg and evolving data architectures, exploring topics such as retention, CDC, ETL and reducing unnecessary data movement.

Through Streambased and his community work, Tom advocates for simpler data architectures that preserve the strengths of Kafka while making operational and historical data easier to work with.