Data & Platform Engineering

From raw data to systems your business can run on.

Microsoft Fabric and Databricks consulting from Boston — lakehouse architecture, pipeline modernization, and reporting your team can trust.

Microsoft Fabric · Databricks · OneLake · Delta Lake · Power BI · Azure

What we do

Data platform engineering, end to end.

01

Microsoft Fabric

Fabric workspaces, OneLake, and the medallion lakehouse — built and tuned. Fabric consulting for teams standardizing on the Microsoft data stack.

02

Databricks

Databricks lakehouse builds, Delta tables, and Spark pipelines. Engineered for cost, reliability, and scale.

03

Lakehouse architecture

Lakehouse implementation done right — bronze, silver, gold. One governed source for analytics and AI.

04

Pipeline modernization

Replace brittle scripts and overnight jobs with pipelines that are observable, tested, and incremental.

05

Platform migration

Synapse, on-prem, or legacy warehouses moved to Fabric or Databricks — without losing history or trust in the numbers.

06

Reporting & Power BI

Semantic models and Power BI built on a clean foundation. From the lakehouse to a board-ready dashboard.

How we work

Scoped, senior, and built to hand over.

01

Assess

We map sources, current pipelines, and where the numbers break. You get a clear architecture and scope before we build.

02

Engineer

We build the lakehouse, pipelines, and reporting layer in Fabric or Databricks — tested, documented, version-controlled.

03

Transfer

Your team takes ownership with runbooks and a working system. We stay on call, not on payroll.

Outcomes

What you get when it's done.

  • One governed lakehouse instead of scattered exports.
  • Pipelines that run on schedule and tell you when they don't.
  • Reporting leadership trusts — same number, every screen.
  • A platform your engineers can extend without us.

Have a Fabric or Databricks build in mind?

Tell us where the data lives and where it needs to go.

Start a project →