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

Call, SOW, delivery in your environment

Thirty minutes. Stack, systems, and the outcome you need. We say if it is a fit.

A named workstream under Havilah Technologies LLC. Scope, owners, and acceptance criteria.

Work lands in your warehouse and your git. Runbooks and handoff a program manager can accept.

Methodology

The same discipline whether we are standing up a pipeline, rebuilding dbt models, or governing a metric for close.

Evaluate current state — systems, grain, jobs, gaps, and risk — with findings leadership can act on.

Target architecture, correction path, and success criteria aligned to the business decision the data must support.

Implement in their repo and warehouse: pipelines, models, tests, and documentation to specification.

Leave controls, monitoring, and ownership so the work holds at close and when an agent is pointed at the mart.

Commercial shape

Defined-scope engineering: pipelines, dbt models, Snowflake/AWS work, migrations, and transformation programs with a written SOW.

Ongoing stewardship — new models, pipeline operations, or a metric family. Named hours and deliverables.

We join a prime or partner on a data workstream. Havilah Technologies LLC is the contracting entity.

When the work is a number fight: one metric, two artifacts, about ten business days. Ruling, evidence SQL, ranked changes.

Stack

We work inside the client security boundary. We do not take a copy of production home.

Named workstreams with a written SOW. Not an unscoped seat on Slack.

Tests, documentation, and named owners so the work survives close and the next engineer.

Tell us the workstream.

Pipelines, dbt, Snowflake, AWS, analytics, governance, or a named partner workstream. We scope it under Havilah Technologies LLC.