HARD-TO-GETDATA.
Custom pipelines, scraping infrastructure, and analytics tools for founders who need information that doesn't come out of APIs.
What I build
External Data Acquisition
Custom web scraping infrastructure and data collection systems that get you information competitors can't access. Built to scale, maintained to last.
Custom Data Pipelines
Production-grade ETL systems that transform messy external data into clean, structured datasets your team can actually use.
Analytics Tools & Dashboards
Internal tools that help your team make better decisions faster. Not dashboards for their own sake—systems that actually get used.
Automation & Integration
Connect disparate data sources, automate manual workflows, and build systems that compound your competitive advantage over time.
How it works
No boilerplate. No prototypes. Just production-ready systems that solve real problems.
Start with the problem
We start by understanding what decision you're trying to make or what competitive advantage you're trying to build, then work backwards to the data and systems you need.
Build for production
Everything ships production-ready: error handling, monitoring, documentation. No prototypes that need to be rebuilt later. Systems that run reliably without constant maintenance.
Own the infrastructure
Full code handoff. Complete documentation. No vendor lock-in. You own everything we build, and you'll understand how it works well enough to maintain or extend it yourself.
Independent data engineer
I've spent years building data infrastructure for startups and growth-stage companies—the kind of systems that give you information your competitors don't have and the leverage to act on it faster.
Vertzy started as consulting work: custom scraping, pipeline engineering, and internal tools for teams who needed more than off-the-shelf analytics. Over time, it evolved into a lab where I build small products and datasets using the same infrastructure.
Consulting funds experimentation. Experimentation sharpens the consulting.
Technical Stack
- ▸Python, SQL, Go for data engineering
- ▸Web scraping at scale (Playwright, Selenium, custom)
- ▸Modern web stack (React, Next.js, TypeScript)
- ▸Cloud infrastructure (AWS, Vercel, serverless)
Who I Work With
Founders building data-driven products. Operators who need internal tools. Teams that have outgrown their analytics stack. Anyone who needs information that doesn't come cleanly packaged.
Start a conversation
Tell me about your data problem. I'll let you know if I can help.