Reynold oversees Databricks' technical contributions to Apache Spark and Databricks Runtime, initiating efforts such as DataFrames, Project Tungsten, and Spark 2.0. To demonstrate Spark's scalability and performance, he led the efforts in the 2014 Daytona GraySort contest and set the 2014 world record, beating the previous record held by Hadoop with 30X higher per-node efficiency. He was also part of the team that set the 2016 CloudSort record for the most efficient and lowest cost software to sort 100TB of data in the cloud, beating the 2015 record by 3X.
Jules S. Damji is an Apache Spark Community Advocate with Databricks. He is a hands-on developer with over 15 years of experience and has worked at leading companies building large-scale distributed systems.