SNAKEDEV

Data Engineering

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Data engineering training and consulting from an expert with 20 years experience in data and Python.

Is your data platform broken, slow, or expensive?
Let’s fix it.

  • KPI and GTM evaluation
  • Eliminate data errors
  • Lower reporting lags
  • Faster product development
  • Hire effective data teams
  • Cloud cost reduction

Schedule a free call

Data Engineering Strategy

In-depth gap analysis of business goals, existing data platform, and in-house skills. Developed callaboratively and delivered as a data architecture plan and roadmap.

Fractional Data Architect

Help technical teams scope projects, design solutions, and review code.

Data Office Hours

Weekly open topic / open attendance call, including outside research and follow up by Slack or email.

Advanced data training for busy people

  • Small group classes
  • Direct instructor access
  • Offline learning resources
  • Class video and transcript
  • Affordable pricing
  • Single and multi-day formats

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On Speed in Software

An introduction to bandwidth and latency

Pete is an absolute rockstar, and if you’re looking for a solutions architect to help you think through architecture, ops, and/or engineering pipelines for your org or product, you can’t find a better thought partner. He is amazing at storytelling and teaching - I recommend him highly!

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Suman Giri
Global Head of Data Science and Analytics,
Merck Human Health

Pete has a rare blend of deep data engineering knowledge & business acumen. He provides practical implementation guidance that actually works for messy, real-world data. From virtual classrooms to ad hoc advice, Pete helped our team expand their knowledge & tackle hard data problems.

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Emily Kruger
Product Executive
Loka

Pete helped us sort out the mess that our data pipeline was in. His advice was essential in making smart technology choices, which let us redirect energy and resources spent on data engineering towards business analysis and product development.

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Jonathan Lange
Principal Architect,
Memrise

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