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Why We Build with dbt

November 5, 2025 · data architecture, dbt, analytics engineering, cloud data

How dbt keeps our healthcare data platforms transparent, documented, and ready to scale with every new question.

At ref(health) consulting, we don’t just move data — we build foundations for reliable decision-making.
Every project we take on, from pipeline design to analytics enablement, is driven by one core belief: clarity beats complexity.

That’s why we architect with dbt.
It’s not just another piece of tech in the stack — it’s the framework that keeps our systems organized, documented, and scalable.


Why It Matters

Most data environments start clean and end up tangled.
SQL scripts multiply, undocumented logic hides in one-off queries, and fixes pile on top of other fixes. Before long, no one’s sure which version of “truth” is showing up on the dashboard.

dbt breaks that cycle. It forces clarity where chaos used to live.
Every transformation is defined, versioned, and tested. Every model is traceable back to its source. That means you don’t just see a number — you can trust how it got there.

Built for Collaboration

Data should never live in a black box.
dbt opens the door for collaboration between engineering, analytics, and business teams — all speaking the same language: SQL.

Our approach blends precision and accessibility. Pull requests, testing, and documentation aren’t afterthoughts — they’re baked into the workflow.
So when someone asks, “Can we trust this metric?”, the answer is simple: Yes, and here’s the lineage that proves it.

Scalable by Design

Growth shouldn’t break your data.
dbt’s modular structure lets us design models that evolve with your business. When new data sources appear or logic changes, we don’t rewrite the house — we swap out the parts.

That’s how we deliver architecture that’s built for speed today and flexibility tomorrow. Whether you’re moving from spreadsheets to Snowflake or building a full data platform in GCP, dbt gives us the discipline to do it right.

The Bottom Line

We chose dbt because it makes our clients’ data simpler, faster, and more reliable.
Not because it’s trendy — but because it creates trust, efficiency, and scalability where it matters most.

If you’re ready to bring structure and transparency to your analytics environment, we’d love to help.

Let’s make your data make sense.
Schedule a free consult