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$
USD
I will design a data warehouse and models for reliable reporting
About this Gig
Give your reports a consistent data foundation. I design warehouse models that make business definitions clear and help your team trace numbers back to their source.
I have 7+ years of data engineering and analytics experience, including warehouse models across 10+ business domains.
The review package identifies model and reporting risks and gives you a practical roadmap. The design package delivers a business-domain model, an ERD and data dictionary, with source mapping. The implementation package adds BigQuery tables and SQL transformations, sample validation and handover notes.
Each package covers one agreed piece of work. Table and source limits are listed in the FAQ. Implementation takes place in a staging dataset; ingestion, dashboards, production rollout and cloud fees are quoted separately. Revisions cover the agreed requirements.
Message me before ordering with your reporting goals, current schema and a few example business questions. We will confirm the scope, required inputs and acceptance checks.
Warehouse Platform:
BigQuery
Project Type:
New Build
My Portfolio
Other Data Engineering Services I Offer
FAQ
How much work does each package cover?
Review covers up to 5 existing tables from 1 source. Design covers one business domain, up to 10 tables and 2 sources, with grain, keys, relationships, an ERD, a data dictionary and source mapping. Implementation uses the same model limits.
What will I receive with BigQuery implementation?
The model design plus BigQuery DDL and up to 3 SQL transformations in one staging dataset. I validate an agreed sample of up to 100,000 rows and provide the SQL, check results and handover notes. Source data must already be available.
Can you improve an existing warehouse or take on a larger project?
Yes. I can start with a review of your current model. Larger builds, source ingestion, dashboards and production changes need a separate quote. Revisions refine the agreed scope; new requirements are priced separately.
