Meet the QCon San Francisco 2023 Committee Members

Our program committee members are always software leaders working on in-production projects. Get the chance to engage and network with professionals driving change and innovation inside the world’s most innovative software shops.
-> ~ QCon San Francisco

Find Sid Anand at

QCon San Francisco 2023 Committee Member

Sid Anand

(He / him / his)

Chief Architect @Datazoom, Committer/PMC Apache Airflow, Previously: Netflix, LinkedIn, eBay, Etsy, & PayPal

Sid currently serves as the Chief Architect and Head of Engineering for Datazoom, where he and his team build high-fidelity, low-latency data streaming systems. Prior to joining Datazoom, Sid served as PayPal's Chief Data Engineer, where he helped build systems, platforms, teams, and processes, all with the aim of building access to the hundreds of petabytes of data under PayPal's management. Prior to joining PayPal, Sid held senior technical positions at Netflix, LinkedIn, eBay, & Etsy to name a few. He earned my BS and MS degrees in CS from Cornell University, focusing on Distributed Systems.

Outside of work, Sid advises early-stage companies and several conferences. Once an active committer on Apache Airflow, he is now mostly a fan.

Sid's body of work includes but is not limited to :

  • The world's first cloud-based streaming video service -- I was the first engineer to work on the cloud at Netflix
  • LinkedIn's Federated Search Typeahead (a.k.a. auto-complete)
  • LinkedIn's (Big Data) Self-service Marketing Analytics tool
  • PayPal's DBaaS - an internal self-service system to provision & manage heterogenous databases
  • PayPal's CDC - an internal self-service CDC system to stream DB updates to nearline applications
  • eBay-over-Skype : Following the Skype-acquisition, I built a P2P version of eBay offers
  • eBay's Best Match Search Ranking Engine powered by an In-Memory Database
  • eBay's Fuzzy-match name/email Search
  • Agari's Data Platform : Batch & Streaming Predictive Data Platform as a Service
  • Datazoom's Platform : High-fidelity, Low-latency Streaming Data Platform as a Service
0 0

qcon@192-168-1-1: ~/pc-chair


Modern Data Engineering & Architectures

OLTP/OLAP DBs, caches, object stores, search engines, graph DBs, data streams, vector DBs, and the like represent the many forms data takes to be suitable to its many uses. Come learn about new technologies, practices, and trends shaping the way you will work with data.


Monday Oct 2 / 10:35AM PDT