Host: Sid Anand

Chief Data Engineer @PayPal, PMC & Committer for Apache Airflow, Co-Chair for QCon

Sid Anand currently serves as PayPal's Chief Data Engineer, focusing on ways to realize the value 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. In his spare time, he is a maintainer/committer on Apache Airflow, a co-chair for QCon, and a frequent speaker at conferences. When not working, Sid spends time with his wife, Shalini, and their 2 kids.

Find Sid Anand at

Tracks

Monday, 24 June

Tuesday, 25 June

Wednesday, 26 June

  • Architecting For Failure

    More than just building software, building deployable production ready software in the face of guaranteed failure.

  • 21st Century Languages

    Lessons learned from building languages like Rust, Go-lang, Swift, Kotlin, and more.

  • Building High-Performing Teams

    What “high-performing team” means and how to build one effectively depends on context. This track will share different experiences of building high-performing teams in order to highlight how different contexts lead to different solutions but also what typically stays the same because we’re still dealing with humans trying to work together. How do different forces affect the building of high-performing teams.

  • Software Defined Infrastructure: Kubernetes, Service Meshes, & Beyond

    Deploying, scaling, managing your services is undifferentiated heavy lifting. Hear stories, learn techniques, and dive deep into software infrastructure.

  • High-Performance Computing: Lessons from FinTech & AdTech

    Killing latency and getting the most out of your hardware.