Speaker: Sid Anand
He / him / his
Chief Architect and Head of Engineering @Datazoom
Sid Anand currently serves as the Chief Architect and Head of Engineering for Datazoom, where he and his team build autonomous streaming data systems for Datazoom's high-fidelity, low latency streaming analytics needs. Prior to joining Datazoom, Sid served as PayPal's Chief Data Engineer, focusing on ways to realize the value of PayPal's hundreds of petabytes of data. Prior to joining PayPal, he held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay. Sid earned his BS and MS degrees in CS from Cornell University, where he focused on Distributed Systems. Outside of work, Sid is a maintainer/committer on Apache Airflow and advises early-stage companies and several conferences (QCon, Data Council, and conferences under Skills Matter).
Find Sid Anand at:
Innovations in Data Engineering
Building High-Fidelity Data Streams
Low latency data streaming technology and practices remain a hot and trending topic among data engineers today. At its core, it promises to deliver data in near real time in order to provide snappy data-driven user experiences.