I help founders get their data infrastructure right before it becomes a scaling problem. As Founder & Principal Advisor at GroundSwell Advisory, I work with startups on: * No-code and low-code data stack architecture, often built on Airtable * AI matching systems and how they connect to underlying data * Cloud architecture strategy for teams scaling past their initial MVP setup I typically come in as a fractional or advisory resource, not a full time hire. My background is in identifying the architecture decisions that either save a founder months of rework or quietly cost them later. If you're evaluating your data stack, adding AI features, or trying to figure out what infrastructure actually needs to scale versus what can wait, that's the conversation I'm best suited for.

Linkedin

https://www.linkedin.com/in/ericcallahan/

Advisory Scope Summary

Data architecture audits and roadmaps, no-code​/​low-code stack optimization (Airtable-centric), AI matching and data pipeline design, cloud architecture strategy, fractional delivery leadership for technical rebuilds.