Small team. Serious engineering.

We're a focused data engineering firm — not an agency that does everything. Every person on our team builds data pipelines. That's it. That's the whole company.

Why Spazetech exists

We started Spazetech because we saw the same problem everywhere: companies investing heavily in data tools but getting mediocre results because the engineering underneath was rushed, fragile, or built by generalists.

Data engineering isn't glamorous work. It's the plumbing that makes everything else possible — your dashboards, your ML models, your automated reports. When the plumbing is bad, nothing downstream works reliably.

We decided to build a company that only does the plumbing, and does it at a level where our clients forget it exists — because it just works.

Four years later, we haven't lost a single client. Not because we're perfect, but because we treat every pipeline, every data model, and every dashboard as if our name is on it. Because it is.

4+ Years operating
100% Client retention
15+ Pipelines in production
0 Client escalations

Principles over process.

01

Production-first mindset

We don't build things that work in dev. We build things that work at 3 AM on a Saturday with bad source data and a schema change nobody told us about.

02

No black boxes

Every pipeline is documented, version-controlled, and built so your team can maintain it. We never create vendor lock-in to ourselves.

03

Right-sized solutions

We won't recommend Databricks when a SQL stored procedure will do. We optimize for your budget and your team's capability, not for the most impressive architecture diagram.

04

Communicate like adults

Weekly status updates. Honest timelines. Early warnings when something is harder than expected. No surprises, no excuses, no jargon walls.

Certified, not just experienced.

Our team holds Microsoft Azure certifications — not as resume filler, but as validation that we know these tools at depth.

Microsoft Certified: Azure Data Engineer Associate

DP-203 — Design and implement data storage, processing, and security on Azure.

Databricks Certified Data Engineer

Production-level knowledge of Delta Lake, Structured Streaming, and Unity Catalog.

Want to work with us?

We're selective about the projects we take on — we'd rather do fewer things well than spread ourselves thin. If you have a data engineering challenge worth solving, let's talk.

Book a free consultation