Overview
Analytics engineering sits between raw ingestion and the dashboards and apps that consume data. We design the modeling layer that turns a warehouse full of source tables into a small, well-documented set of marts that the business actually understands — with the conventions, tests, and ownership model needed to keep that layer trustworthy as the team grows.
Reference Architecture
Engagement Model
We typically begin with a modeling audit that maps current marts to business processes and identifies the highest-leverage gaps. Build work proceeds one business domain at a time so every release is independently useful to the team.