Twilio has built an open source data lake using AWS technologies and Databricks, processing billions of events daily through their Kafka environment. They aim to provide a cohesive view of data across platforms and enable other businesses to use data wherever they want. Don, the Head of Data Platform and Engineering at Twilio, shares insights into Twilio's data stack in the latest episode of the Modern Data Show. The conversation covers the Twilio data stack, which begins with data ingestion through Kafka or CDC for Aurora databases, followed by storage in S3, high-level aggregation and curation using Spark, and the use of tools such as Kudu, Reverse ETL, data governance, cataloging, and BI tools.