About Arvaxis

Turning complex data into reliable, actionable insight

Arvaxis Data Consulting is a U.S.-based data engineering, analytics, and business intelligence consultancy serving mid-sized and enterprise organizations.

Our mission

Help organizations trust their data — and act on it.

We help businesses modernize their data platforms, streamline data integration, improve reporting, and turn complex data into reliable, actionable insights.

Our work is grounded in more than two decades of enterprise software development and data engineering. We understand how data systems succeed in practice, and why they fail — and we design every solution to stay reliable, performant, and maintainable long after the engagement ends.

Abstract visualization of connected data layers

What sets us apart

Principles behind every engagement

20+ years of experience

Two decades of enterprise software development and data engineering behind every engagement.

Modern Microsoft data expertise

Deep, hands-on expertise across Microsoft Fabric, Azure data services, SQL, and Power BI.

End-to-end capabilities

From data integration and platform architecture through to analytics dashboards.

Built to last

A relentless focus on reliability, performance, scalability, and maintainability.

Business-first approach

Every technical decision is connected to measurable organizational goals.

Who we serve

Partners to the leaders responsible for data

We work with organizations that run on complex data systems and need reporting they can rely on.

  • CIOs and CTOs
  • IT Directors
  • Heads of Data & Analytics
  • Data Engineering Directors
  • BI Directors
  • Business leaders driving data modernization

Technology expertise

Deep in the modern Microsoft data stack

Hands-on experience across the platforms and languages that power modern enterprise analytics.

Microsoft FabricAzure Data FactoryAzure Data PlatformPower BISQLPythonDAXPower Query

Let's Turn Your Data Challenges Into Business Opportunities.

Schedule a free 30-minute conversation to discuss your current data challenges, business priorities, and potential solutions.