The Big Data Analytics Expert You Need.

Using big data is a great way to 10x your business, but it's easy to get caught up in the weeds. If your timelines are slipping and you need results now then let's work together.

How I Can Help You

Big Data Architecture

No buzz-words. I design Big Data systems that excel at providing real value ($), are easy to manage, and scale as you grow.

Data Engineering

You already have great engineers. I'm here to help them execute on your vision without getting lost in a sea of frameworks, tools, and environments. No consultant BS, I know how to get things done.

Data Analytics

Each team has different needs. Work with me to deploy analytics systems that work for the whole organization. I can help you turn insights into results ($).

GDPR and CCPA Implementation

If you store any user-data, you need a data governance system. It's easy to get wrong. I deploy systems that clean user data, provide audits, generate automated documentation, and are capable of self-validation.

Cloud Migrations

Moving distributed systems to (or from) a cloud vendor is intensive work. Let me plan and execute the project for you, so you can get back to work.

Training and Onboarding

Get your organization up to speed, quickly. Using big data requires an organizational effort, not just code.

Why You Should Hire Me

I've spent a decade working with big data. I can help you get the results you need.

Learning to ingest, store, process, and operationalize big data can take years. I have first hand experience delivering quality applications in a range of businesses.

I can help you answer questions like

  • What analytics software should my team use?
  • How should we redact data for the GDPR and CCPA?
  • What is the most cost effective cloud offering?
  • How can we identify useful data?
  • What data warehouse makes the most sense for our business?
  • What format should my data be stored in?
  • How should we secure our big data?
  • Should we be using Spark, or something different?
  • How do we effectively process my data?
  • How do we debug problems in my ETL pipelines?
  • How do we get my internal teams up to speed?
Contact Me for a Quote
group-img

About Me

I spend my workdays helping businesses get to grips with their ‘big data’. That usually means architecting, building, deploying, and monitoring data pipelines using Spark, Kafka, Hadoop, and more.

I’m a father and husband, and would not be capable of doing anything useful without my super smart and supportive wife, Alexandra.

Prior to Rathbone Labs, I founded and ran a data analytics start-up (Beekeeper Data), ran a team as VP of Engineering at Kickbox, designed and built distributed software at Shoutlet (acquired by Spredfast), built large scale analytics infrastructure at Foursquare, and real-time analytics software at Drop.io (acquired by Facebook).

I make technical tutorials on my blog, founded Big Data Madison, and have a MS in Computer Science from the Courant School of Mathematics at NYU.