Data platforms built like software.

Yuna Labs designs and ships analytics platforms with the rigor of modern engineering — versioned, tested, observable, and ready for the decisions your teams need to make.

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Analytics Engineering Data Platforms Cloud & DevOps

Data pipeline illustration: sources flowing through a transform layer into tested dashboards

01 · Versioned

Everything in git

Models, pipelines, dashboards, and infrastructure live under version control with reviewable history.

02 · Tested

Checks before production

Schema, freshness, and logic tests run on every change. Breakage is caught before stakeholders see it.

03 · Observable

Lineage by default

Data lineage, freshness, cost, and quality are first-class — not instrumented after the fact.

04 · Composable

Warehouse-agnostic

Modern, vendor-neutral stacks. You keep your data, your cloud, and your options.

Analytics you can trust

Composable data stacks with dbt, CI/CD, and lineage. Never doubt a dashboard number again.

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Platforms built for scale

Secure, cost-aware architectures on AWS, Azure, and GCP. Infrastructure that grows with demand.

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Insights without the drag

Fast dashboards and semantic layers that make the right metric obvious across the organization.

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How we work

Three phases, each with a concrete deliverable. No open-ended engagements.

Audit

We assess your current stack, data contracts, and reporting surface. You get a written assessment with prioritized recommendations within two weeks.

Design

We map target architecture, data contracts, and delivery milestones. You sign off on scope and cost before a line of code is written.

Deliver

We ship in small, tested increments with CI/CD and observability on from day one. You own the code and the documentation.