dbt Implementation Partner
dbt projects with layering your team can predict, tests that block a bad merge, and CI that finishes while you are still reading the diff.
Partnership Overview
What a dbt partner is actually for
As a certified dbt implementation partner, Aptologics helps organizations adopt and scale analytics engineering practices using dbt (data build tool).
dbt enables data teams to transform data in their warehouse more effectively, using software engineering best practices like modularity, portability, CI/CD, and documentation. Our team of certified dbt experts helps you implement, optimize, and scale your dbt workflows.
Our Offerings
dbt Implementation Services
Whether you are adopting dbt, inheriting a project someone else built, or trying to make an existing one cheaper to run.
Project structure
Staging, intermediate, and mart layers with a naming convention your team can predict, sources declared with freshness checks, and a DAG that reads left to right instead of sideways.
Modelling and materialization
Choosing view, table, incremental, or ephemeral per model rather than by default, incremental strategies that cope with late-arriving rows, and snapshots where you need slowly changing dimensions.
Tests that catch real breakage
unique, not_null, relationships, and accepted_values as the floor, then custom generic tests and dbt-expectations for the assumptions specific to your business. Failures block the merge.
CI that finishes in minutes
Slim CI on pull requests using state:modified with deferral, so a one-model change does not rebuild the warehouse. Docs and lineage regenerate on merge rather than when someone remembers.
dbt Core or dbt Cloud
Both work. Cloud buys you the scheduler, the IDE, and the semantic layer. Core plus an orchestrator you already run costs less and gives you more control. Which one suits you depends on your team, not on our preference.
Untangling a project that grew wild
Most dbt work is not greenfield. Collapsing duplicate models, unpicking macro sprawl, retiring full refreshes that no longer need to be, and getting the warehouse bill back under control.
Why Choose Us
Benefits of Our dbt Partnership
Partner with Aptologics for your dbt implementation to gain these advantages.
You can read the DAG
Layering and naming are conventions, not decoration. When someone new opens the project six months from now, the shape of it tells them where to put the next model.
Breakage surfaces before a stakeholder finds it
Tests run in CI and on schedule, and they fail loudly. The point is not test count; it is that the specific assumptions your business depends on are the ones being checked.
It works with the warehouse you have
Snowflake, Databricks, BigQuery, or Redshift. The adapter differs, the modelling discipline does not, and we will not tell you to migrate to make our job easier.
Your team can run it without us
Conventions written down, docs generated, and the people who will maintain it working alongside us during the build if you want that. There is nothing proprietary to unwind if you take it in-house.
Get Started
Get a scope and a price before you commit anything
One problem, named and priced in writing. Yours to act on however you like, including elsewhere.
