01
Assess
Evaluate current state — systems, grain, jobs, gaps, and risk — with findings leadership can act on.
How we work
Assess, design, deliver, govern
Every engagement is a named workstream under a written SOW. We work in your warehouse and your git. We do not take unscoped seats.
How an engagement starts
Fit call, written SOW, delivery in your environment
01
Fit call
Thirty minutes on your stack and the outcome you need. We tell you honestly if it is a fit.
02
Written SOW
A named workstream under Havilah Technologies LLC. Scope, owners, and acceptance criteria.
03
Delivery in your environment
Work lands in your warehouse and your git. Runbooks and handoff a program manager can accept.
Methodology
Assess → Design → Deliver → Govern
The same discipline whether we are standing up a pipeline, rebuilding dbt models, or governing a metric for close.
02
Design
Target architecture, correction path, and success criteria aligned to the business decision the data must support.
03
Deliver
Implement in their repo and warehouse: pipelines, models, tests, and documentation to specification.
04
Govern
Leave controls, monitoring, and ownership so the work holds at close and when an agent is pointed at the mart.
Commercial shape
Written SOW. Named workstream.
Project delivery
Defined-scope engineering: pipelines, dbt models, Snowflake/AWS work, migrations, and transformation programs with a written SOW.
Managed partnership
Ongoing stewardship — new models, pipeline operations, or a metric family. Named hours and deliverables.
Subcontract & teaming
We join a prime or partner on a data workstream. Havilah Technologies LLC is the contracting entity.
Contested Metric Diagnostic
When the work is a number fight: one metric, two artifacts, about ten business days. Ruling, evidence SQL, ranked changes.
Stack
Snowflake, dbt, Python, SQL, AWS — used as engineering.
- Snowflake
- dbt
- Python
- SQL
- AWS
- CDC / ELT
- Orchestration
- BI grain
- AI-ready marts
Your cloud and your repo
We work inside the client security boundary. We do not take a copy of production home.
Scoped professional services
Named workstreams with a written SOW. Not an unscoped seat on Slack.
Handoff that holds
Tests, documentation, and named owners so the work survives close and the next engineer.
The statement of work
What the SOW contains
- The workstream and the outcome.
- Named owners on both sides.
- Acceptance criteria.
- The environment: your warehouse and your git.
- A single fee for that scope.
At the end
What you own
- The code in your repository.
- Tests and documentation.
- A runbook and named owners.
- The decision of what an agent may quote, when that is in scope.
Questions
Access, security, and price
- What access do you need?
- The warehouse, the repository, and the two artifacts when the work is a disputed metric. Access stays inside your boundary.
- Where does the data go?
- It stays in your cloud and your git. We do not take a copy of production home.
- How is the work priced?
- A single number in the statement of work for a defined scope. Rates are not published on this site.
Tell us the workstream.
Thirty minutes is enough to say whether it is a fit.