HAVILAH TECHNOLOGIES

Data Engineering, Analytics & AI

Data engineering, analytics, and AI-ready platforms — delivered under a written SOW.

We design, build, and govern the warehouse on Snowflake, dbt, and AWS. Pipelines, transformation, analytics, and named workstreams for commercial buyers and delivery partners.

Havilah Technologies LLC · A Havilah Ventures company

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Stack

Snowflake
dbt
Python
SQL
AWS
Airflow
Tableau / Power BI

Your environment

Delivery in the client warehouse and git — not a copy taken home.

Written SOW

Named workstream, named owners, documented handoff.

Modern stack

Snowflake, dbt, Python, SQL, and AWS used as engineering.

Governed grain

Certified marts before reporting or an agent quotes a number.

Services

Data Engineering, Analytics & AI

From source systems to certified marts: engineering, transformation, cloud platforms, analytics, governance, and AI-ready data.

ETL/ELT, CDC, orchestration

Data Engineering & Pipelines

We design and build the ingest, CDC, and orchestration that move ERP, CRM, files, and APIs into a warehouse operations can run.

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Models, tests, grain

dbt, SQL & Transformation

We build and refactor the dbt and SQL layer that turns landings into certified marts finance and operations can both use.

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Snowflake and AWS

Cloud Data Platforms

We design, migrate, and tune Snowflake and AWS so the platform matches the workload — roles, performance, cost, and security.

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Metrics, reporting, BI grain

Analytics Architecture & BI

We define and deliver the metric layer so Tableau, Power BI, or Looker reports the warehouse — not a fourth version of revenue.

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Governed grain before an agent quotes a number

AI-Ready Data

We prepare certified marts, features, and semantic context so warehouse AI and copilots quote numbers the business has already ruled.

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When two official numbers both claim truth

Contested Metric Diagnostic

We trace one disputed metric from source through the warehouse into the report and leave a written ruling plus evidence SQL your team re-runs.

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Tests, lineage, ownership, audit

Data Integrity, Quality & Governance

We put tests, lineage, owners, and reconciliation in place so accuracy holds after delivery — at close, audit, and in regulated programs.

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Named workstreams for primes and partners

Partner & Subcontract Delivery

We deliver a named Snowflake, dbt, or AWS workstream under subcontract — in your security boundary, with a handoff a program manager can accept.

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Methodology

Assess → Design → Deliver → Govern

01

Assess

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

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.

How an engagement starts

Call, SOW, delivery in your environment

  1. 01

    Discovery call

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

  2. 02

    Written SOW

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

  3. 03

    Delivery in your environment

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

Who we serve

Data leaders, finance, and delivery partners

Mid-market and enterprise teams with a warehouse in motion — and primes or partners who need a Snowflake/dbt/AWS specialist on a defined workstream.

CFO, Controller, VP Finance, VP Operations, CDO, Head of Data, and partner / subcontract managers on delivery programs.

Delivery posture

  • 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.

Tell us the workstream.

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

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