We inspect the current platform or trace one business-critical data workflow from source to decision. You receive prioritized findings, clear assumptions and a 30/90-day roadmap your team can use.
A strong fit if
Reliability problems keep recurring.
Costs are increasing without a clear explanation.
The team disagrees on platform priorities.
Technical debt is slowing delivery.
A roadmap is needed before further investment.
A manual reporting or data workflow needs diagnosis before a platform is built.
Probably not a fit if
You expect a complete platform rebuild inside the audit.
The required access cannot be provided.
The main need is ongoing implementation capacity.
At the end of the audit, your team has a shared view of the highest-impact problems and a practical order for addressing them.
Complimentary for selected companies · 5–10 working days
We offer a limited number of complimentary audits. Scope and access are agreed before we confirm a review.
Implementation is scoped separately as a Data Engineering Sprint or Embedded Data Engineering engagement.
Each finding is tied to observed evidence, its likely impact and a recommended next action. Assumptions and access limitations are documented so your team can review the reasoning behind the roadmap.
Step 01
Confirm goals, map the current workflow or platform, and validate access.
Step 02
Inspect the relevant sources, transformations, architecture, controls, and reliability risks.
Step 03
Group findings, assess impact, identify dependencies, and prioritize actions.
Step 04
Present findings, align stakeholders, and provide the 30/90-day roadmap.
Relevant technology for this engagement.
Data quality audit · Data warehouse assessment · Pipeline reliability review · dbt project health · Orchestration and monitoring · Architecture and technical debt
Hands-on delivery in production stacks, not advisory-only.
SQL
Tell us what is happening in your data environment and we will determine whether an audit is the right next step.