Episode 101: Scaling Data Engineering, Building Data Teams, and Managed Data Stack with Tarush Aggarwal
from Datacast Hosted by James Le
Tarush Aggarwal is one of the leading experts in leveraging data for exponential growth, with over ten years of experience in the field. After graduating with a degree in Computer Engineering from Carnegie Mellon in 2011, he became the first data engineer on the analytics team at Salesforce.com. Data was in its infancy, and the log metric framework he built was critical in allowing Salesforce to analyze data across customers and provide benchmarks across different industries and verticals. Most recently, Tarush led Data for WeWork. WeWork leveraged data to grow 10x in 3 years, supporting a footprint of 800+ offices in 120+ cities in 23+ countries with over 12,000 employees, making WeWork one of the fastest-growing companies in the world. He scaled the data org from 2 to 100+, and their unique approach allowed them to stay lean while supporting every functional area of the business. In 2019, he moved to China to help establish WeWork’s Asia operations and focus on the hyper-growing Chinese market. We touched on his college experience at CMU, his time at Salesforce as the first data engineer, lessons learned from building and managing a data team as a Data Manager at Wyng, his leadership role at WeWork scaling the data team and establishing the operations in the Chinese market, his current journey with 5x building the app store for the modern data stack, and much more. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe
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