Practical data leadership for operational businesses

We started Stonebridge because operations-heavy businesses kept telling us the same story: scattered data, endless reconciliation, and automation that felt risky. We build systems that change that.

Our founders spent years in operations and data roles at scaling companies—managing supply chains, field teams, and complex multi-location workflows. We learned that the real bottleneck isn't the technology. It's translating what people need into systems that actually work.

Too many data projects fail because they prioritize elegance over usefulness. We built Stonebridge around a different principle: practical systems that measurably improve how work flows.

We focus on the businesses that have to keep things moving: distributors managing thousands of SKUs, field service companies tracking distant teams, manufacturers balancing supply and demand, wholesalers handling real-time logistics. These aren't the sexiest data problems, but they're the ones that matter most to your bottom line.

How we work

We measure in outcomes

Success is faster decision cycles, fewer manual handoffs, and cleaner data. Not cool architecture or impressive dashboards.

We document everything

Your team owns the systems we build. We create clear runbooks, architectural decisions, and maintenance guides before we leave.

We scope rigorously

We say no to features that dilute focus. Tight scope means faster delivery and systems you can actually maintain.

We respect your constraints

Legacy systems, tight budgets, limited IT support—these are real constraints we design around, not problems to solve with more money.

We build for resilience

Automation should fail gracefully. We design alert workflows, exception handlers, and audit trails so humans stay in control.

We communicate clearly

No jargon unless it's necessary. Progress updates, trade-off conversations, and honest timelines on every project.

The team

Mara Ellison

Mara Ellison

Founder & Managing Director

Former operations analyst who leads practical modernization programs for distributed businesses.

Graham Weller

Graham Weller

Director of Data Engineering

Designs durable pipelines and warehouse models for messy, high-volume operational data.

Priya Nanduri

Priya Nanduri

Head of Automation Strategy

Maps repetitive work into safe AI-assisted workflows with clear human checkpoints.

Ethan Caldwell

Ethan Caldwell

Principal Analytics Architect

Turns inconsistent reporting definitions into trusted metrics teams can actually use.

Naomi Brooks

Naomi Brooks

Client Delivery Lead

Keeps complex implementations moving through candid communication, scope discipline, and useful documentation.

Victor Hanley

Victor Hanley

Senior Data Engineer

Specializes in ERP, CRM, and inventory-system integrations that reduce reconciliation work.

Elena Marlowe

Elena Marlowe

AI Solutions Designer

Builds document, email, and knowledge workflows that make automation feel calm and reliable.

Darius Whitcomb

Darius Whitcomb

Data Quality Lead

Creates validation rules, ownership models, and monitoring routines that catch problems early.

Claire Benton

Claire Benton

Product Operations Consultant

Connects field teams, back-office processes, and customer-facing systems into measurable operating rhythms.

Jonah Reeves

Jonah Reeves

Cloud Platform Engineer

Builds secure, maintainable environments with sensible controls and transparent cost management.

Tessa Morgan

Tessa Morgan

Senior BI Developer

Crafts executive reporting and frontline dashboards with definitions people can trust.

Malcolm Avery

Malcolm Avery

Implementation Manager

Coordinates launches, training, and adoption plans so new systems survive beyond go-live.

Sophie Langford

Sophie Langford

Automation Engineer

Develops reliable workflow integrations with careful logging, retries, and exception paths.

Caleb Foster

Caleb Foster

Data Governance Consultant

Helps leaders establish durable decision rights for sensitive and business-critical information.

Working principles

Data should be boring

If your team is talking about your data infrastructure all the time, something is wrong. Good systems work in the background and don't require constant attention.

Handoff is the success metric

We're successful when we can step away and your team maintains the systems confidently. Dependency on external consultants is a failure mode.

Speed to value matters more than sophistication

A simple system you deploy in eight weeks beats an elegant system in six months. We'll make it harder to break and easier to extend as you grow.

Automation should be calm

AI workflows need human checkpoints, exception handling, and clear audit trails. Scary automation is useless automation.