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New York, NY, USA

Joe N.

I help companies solve their data problems

I come from an atypical background for a data engineer. After working in acquisition marketing, I found myself building systems to support non-technical teams.

Over a number of years at various startups, I've run multiple data teams, and built data platforms for internal and customer-facing initiatives. My teams owned the technical deliverables for $16M+ of projects, built the platforms to help our company scale to $40M+ ARR.

I now run Purview Labs, my solo consultancy helping startups and enterprises run efficient data engineering programs, build business-critical software, and reduce their cloud spend.

Data engineering does not need to be as complicated and costly as many vendors make it seem. You don't always need a complex stack of tools to help the business run more efficiently. But, you always need to understand the business problem.

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Joe N.

Work

Experience

Apr 2022 — Present
Purview Labs

Purview Labs

President

Fractional data engineering and architecture consulting for startups and enterprise.

  • Reduced client's annual Snowflake bill by 70%
  • Designed and implemented business-critical data pipelines for various clients
  • Rearchitected legacy backend systems to support new business, enabling novel revenue stream for client
May 2022 — Feb 2023
Block Renovation

Block Renovation

Data and Analytics Lead

Reinventing the home renovation

  • Responsible for day-to-day operations of the Data & Analytics team, as well as strategic initiatives, supporting all departments within the business
Nov 2020 — May 2022
Postscript

Postscript

Business Intelligence Lead

SMS marketing and customer retention for Shopify stores

  • Developed internal analytics strategy, implementing data stack from ground up
  • Drove >80% adoption of internal analytics tooling across org, as company grew 6x in size
  • Automated Monthly and Quarterly Business Review process
  • Reduced ETL latency while decreasing pipeline spend
Feb 2016 — Nov 2020
pymetrics

pymetrics

Technical Product Manager, Data Engineer

Gamified predictive hiring assessments for Fortune 500s

  • Ensured $16M+ of new business contracts through market validated integrations and platform features
  • Responsible for technical design, prioritization and project execution of 12 Engineers across 3 Teams