Reynold oversees technical contributions to Apache® Spark™ at Databricks, initiating efforts such as DataFrames and Project Tungsten. To demonstrate Spark’s scalability and performance, he lead 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. Prior to Databricks, he was a PhD student at the UC Berkeley AMPLab, where he focused on scalable data processing. He wrote the highest cited papers in SIGMOD 2011, 2013, and 2015, and won Best Demo Award at VLDB 2011 and SIGMOD 2012.
