Alejandra Cabrera
Alex MacCaw
Alex Ross
Alex Yamamoto
Alun Lucas
Amit Vasudev
Andrew Breen
Andrew Park
Ashley Taylor
Bradley Gula
Brian Hemeryck
Chelsea Carney
Cliff Marg
Colin White
Daniel Murphy
David Lumley
Diego Poza
Ed Fry
Emily Brown
Emily Pick
Emily StephenEtai Coles
Ethan Broder
Gaines MurfeeGauri Manglik
Guillaume Cabane
Ian Maier
Janet Choi
Jenny Thai
Jess Cody
Joel Burke
Jonathan Delich
Jordan Crawford
Juhi Saha
Julie Beynon
Justin Tsang
Kevin Tate
Kim Peterson
Leonardo Federico
Matt Sornson
Mike HellerMike Lee
Nick Wentz
Pekachu
Philip Mashinchi
Rachel Pearson
Robin SpencerSaagar Gupta
Sam DeBrule
Sam Weiss
Sara Yin
Scott Strand
Trevor Sookraj
Wei Zhu
Zachary SwetzProblem Analytics are hard to get right – especially for complex business models (like API-first SaaS). Building a flexible analytics stack is typically a challenging, non-trivial project. Everyone wants accurate, comprehensive data that can be easily consumed by teams across the company, but getting there hasn’t always been easy. This often requires a team of data engineers to build, test, and monitor a custom ETL (extract, transform, load) pipeline that cleans, aggregates, and loads data from