Paco Nathan, is a "player/coach" who has led innovative Data teams building large-scale apps for several years. Expertise in distributed systems, machine learning, cloud computing, functional programming. Paco is an O'Reilly author -- with a focus on Enterprise data workflows and math literacy among execs, plus a keen interest in Ag+Data -- Apache Spark open source evangelist with Databricks, and an advisor for Amplify Partners. He received his BS Math Sci and MS Comp Sci degrees from Stanford University, and has 30+ years technology industry experience ranging from Bell Labs to early-stage start-ups.