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Every engagement lists its scope, timeline and fixed fee before checkout

Techluminate
Data & AI TL-DAT-101 Popular

Postgres and dbt Analytics Warehouse

A single analytics warehouse where app, payments and ads data agree, modelled in dbt with tests and documentation.

Timeline
25 working days
Deliverables
7 listed
Practice
Data & AI
Fixed fee
₹39,999
01Overview

What this engagement delivers

Most reporting disputes are really disputes about definitions, with each team counting customers differently from its own export. We build a warehouse on Postgres or Snowflake, load your sources on a schedule and model them in dbt, so a metric such as active customer is defined once, in version control, with a test that fails when the data breaks. Documentation is generated from the models themselves and stays current as they change. The result is a reliable base for reporting today and for AI and machine learning work later.

02Deliverables 7 items

What you receive

  1. Warehouse provisioned on Postgres or Snowflake with access roles
  2. Ingestion from up to five sources, such as your app database, Razorpay and ad platforms
  3. Staging, intermediate and mart layers built as dbt models
  4. Data tests for uniqueness, referential integrity and freshness on key tables
  5. Generated documentation site with model lineage
  6. Daily scheduled runs with failure alerts to email or Slack
  7. Handover session covering how to add a model
03Process

How the work runs, in 4 stages

  1. Stage 1: Interview

    We collect the questions the business keeps failing to answer

  2. Stage 2: Model

    Sources are mapped and the mart layer is designed around those questions

  3. Stage 3: Build

    Ingestion, dbt models and tests are implemented and backfilled

  4. Stage 4: Handover

    Walkthrough, documentation and two weeks of question answering

04Fit & inputs

Who it suits, and what we need from you

Ideal for

  • Companies where every report comes from a different spreadsheet
  • Teams whose analyst spends most of the week joining exports by hand
  • Businesses preparing for due diligence and needing consistent numbers

What we need from you

  • Read access to source databases and platform accounts
  • An hour each with the people who own the definitions that differ
  • A decision on where the warehouse lives and who pays for it

You provide these through the technical brief in your dashboard after checkout.

05Benefits

What changes for your team

  • 01

    One agreed number per metric, defined in code and covered by tests

  • 02

    Broken upstream data is caught by a failing test, not by a customer

  • 03

    Analysts spend their time on analysis rather than on assembling data

06FAQ

Questions about this engagement

Below a few hundred million rows Postgres is usually cheaper and simpler. We will size it with you before committing.

That is common, and it is handled in the staging layer. Where data cannot be fixed, we document the limitation rather than hiding it.

No. Metabase Reporting Setup covers the dashboard layer and is designed to sit on top of this.

This is a remote engineering engagement — nothing is shipped physically. Work is delivered into systems you control. See delivery & handover and refunds & cancellation for the full terms.

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Next step

Bring the problem. Leave with a defined plan.

Pick the engagement that matches what you need, or tell us about the system you are working on and we will point you to the right starting place.