I'm a Data Plumber. I spend most days designing/tuning/fixing/banging-on data pipelines and the infrastructure behind data-intensive applications of all sorts. I love what I do!
Originally trained as a Physicist (Ph.D. researching how quantum computers can learn to tolerate noise and errors), I've since had an incredible career out in the world where Data Science meets DevOps and infrastructure engineering.
I've been lucky enough to work for companies like Canonical, the folks behind the Ubuntu operating system, Infochimps, Silicon Valley Data Science, and now DigitalOcean. Places where talented teams of people are innovating and leading open-source communities and the tech industry as a whole.
I've been a consultant for a lot of my career, which gives me great insight into a vast range of data-related problems people have as well as how to help solve these problems across industries and technology stacks.