PANEL DISCUSSION
Modern Data Engineering Panel
What does a data engineer need to know in order to be successful in today's world? What are some best practices, pitfalls, and ways to think about building a low cost-of-ownership, high-quality data platform? What technologies are non-starters and why? What technologies are hidden gems? Finally, what should the industry think about and what is coming next? Join our panel of experts as we explore these questions in order to shed light on these areas.
Speaker
Shrijeet Paliwal
Sr. Staff Software Engineer @Tesla
Shrijeet is a founding member of data platform team at Tesla, tasked to build a scalable, self-served, cost-efficient data platform that caters everything data at Tesla. He has his hands all the way from improving server provisioning & automation to writing multi-petabyte time series storage....
Read moreSpeaker
Chinmay Soman
PMC Member/Commiter @SamzaStream
Chinmay Soman has been working in the distributed systems domain for the past 10+ years. He started out in IBM where he worked on distributed file systems and replication technologies. He then joined the Data Infrastructure team in LinkedIn and worked on open source technologies such as Voldemort...
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Speaker
Chris Riccomini
Distinguished Engineer @WePay
Chris Riccomini is a software engineer, startup investor, and advisor with more than a decade of experience at major tech companies such as PayPal, LinkedIn, and WePay. He has been involved in open source throughout his career and is the author of Apache Samza. He's recently written The...
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