Data Engineering · Analytics · AI Governance

Somebody has to
own the results.

We help mid-market companies build trustworthy data and AI systems — with the expertise of an enterprise team, the accountability of a single partner.

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Our Philosophy

The accountability layer

AI tools can generate pipelines, dashboards, and queries. They cannot sit in a room with your CFO and explain why the numbers don't match. They cannot be accountable when something breaks at 2 am before a board meeting.

Aquila exists where expertise, judgment, and ownership intersect — the layer that separates data you have from data you trust.

"When your dashboard shows wrong numbers for three months, you're not calling ChatGPT. You're calling Aquila."
The Aquila Standard

What We Deliver

Built for the problems that keep you up at night

01

Data Engineering & Integration

Pipelines that run, refresh, and recover — built with monitoring, alerting, and the kind of testing that catches problems before your board does.

02

Analytics Engineering & Modeling

One source of truth for Revenue, Margin, and every metric your leadership team argues about. Medallion architecture, star schemas, version-controlled logic.

03

Executive BI & Reporting

Dashboards built for decision-makers, not data engineers. Financial packs, KPI reporting, cohort analysis — tuned for speed and clarity in Power BI.

04

Data Strategy & Architecture

Current-state assessment, target architecture design, and an implementation roadmap that accounts for your actual budget, team, and timeline.

05

AI Governance & Readiness

Adopt AI without exposing customer data or generating hallucinated metrics. Guardrails first, deployment second.

06

Fractional Data Leadership

Weekly architecture review, code quality assurance, stakeholder alignment, and vendor decisions — on retainer, without the $200K hire.

Credentials

Elite preparation. Hands-on delivery.

JHU
M.S. Data Science Johns Hopkins University
HES
M.S. Systems Engineering Harvard University
6
Industry Certifications Azure · Fabric · Databricks
1
Point of Contact From strategy to execution
Microsoft Azure Power BI Fabric Databricks Snowflake AWS

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Ready to stop hoping your data is right?

Schedule a confidential conversation about your data infrastructure, reporting challenges, or AI readiness. No pitch deck — just an honest assessment.

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