You're burning $20k/month on Snowflake with no clear path to optimization. Your dbt project has become technical debt. Your investors are asking questions about metrics your team can't confidently answer. Sound familiar?
The Short Version
What we do: Data infrastructure and analytics engineering. The unsexy work that makes everything else possible.
What we don't do: Staff augmentation, junior resources, or solutions looking for problems.
What it costs: $25–75k for projects (8–16 weeks), or $10–20k/month for ongoing support.
What Changes When We're Done
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- Metrics your execs trust and stop re-litigating in meetings
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- Snowflake spend that's explainable and predictable
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- A dbt project your team isn't afraid to touch
What We Believe
Your data team is probably fine. Your architecture isn't.
We've seen too many companies hire their way out of problems that are fundamentally structural. You don't need three more analytics engineers if your dbt project has 400 untested models and no contracts.
Buy before you build.
Unless it's your core business logic, someone else has already solved it better. We'll push back hard on custom solutions when an off-the-shelf tool does 90% of the job.
Dashboards don't matter if nobody uses them.
We obsess over adoption, not just deployment. If the VP of Sales isn't actually looking at the pipeline forecast we built, we failed; regardless of how elegant the DAG looks.
Proof It Works
Three years with a top-tier VC firm. Consolidated 20+ sources, cut quarterly close from 5 days to 1, built dashboards partners actually use.
Killed a 15,000-line Python ETL monster for a fintech scale-up. Replaced it with declarative dbt. Pipeline runtime dropped 78%. Failure rate under 0.5%.
Stood up self-service analytics for 50+ analysts at a national tele-health provider. Six weeks, soup to nuts.
The Team
I'm Steve. I started Tabby Stack in 2021 after a decade in data; seed-stage chaos, Fortune 500 bureaucracy, everything in between. I'm a certified Snowflake and dbt partner, AWS Solutions Architect, and I've spent way too much of my life debugging warehouse costs.
When projects scale up, I bring in specialists I've worked with for years. Senior folks only. No bench, no overhead.
We build to leave, not to stay. Every engagement includes documentation, training, and a clean handoff.
When We're the Right Fit
You're dealing with one of these:
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- Snowflake costs growing faster than revenue — we usually find 30–40% waste in the first audit
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- dbt project that's become a liability — we focus on the 20 models that actually drive decisions
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- Migration that needs to land — parallel validation, phased cutover. We've done 12+ of these
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- Data quality surprises — upstream contracts + business-owned alerts
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- Metrics defined six different ways — we force a single definition, even when it's uncomfortable
If that sounds familiar, book a 30-minute call. No pitch; just a quick diagnostic to see if we can actually help. If we're not the right fit, we'll tell you.
Philadelphia-based. Fully remote. Unreasonably responsive.