You will get one source of truth: a custom data warehouse you own
Top Rated

Project details
Your data lives across a dozen systems and no one agrees on which number is right. Analysts spend forty hours a week reconciling spreadsheets. AI pilots fail because the data underneath them is a mess. You can't get a clean rollup across locations without a quarterly fire drill.
I will build you a data warehouse that pulls continuously from your existing systems and normalizes everything into a clean, documented model. It's built for two consumers at once: the humans who need reports they can trust, and the AI that needs clean data to be accurate.
I build it deliberately for the people who work with the data daily, your controllers and analysts, not just the executive who reads the deck. Multi-entity logic is designed in from the start, so a rollup across portcos or locations is a query, not a project. For distributors, layered contract pricing and chargeback reconciliation come built in.
It runs where you decide: managed cloud, your own VPC, or fully on-premise. You own the warehouse and every object in it, the model, the pipelines, the data-quality rules, and the documentation.
I will build you a data warehouse that pulls continuously from your existing systems and normalizes everything into a clean, documented model. It's built for two consumers at once: the humans who need reports they can trust, and the AI that needs clean data to be accurate.
I build it deliberately for the people who work with the data daily, your controllers and analysts, not just the executive who reads the deck. Multi-entity logic is designed in from the start, so a rollup across portcos or locations is a query, not a project. For distributors, layered contract pricing and chargeback reconciliation come built in.
It runs where you decide: managed cloud, your own VPC, or fully on-premise. You own the warehouse and every object in it, the model, the pipelines, the data-quality rules, and the documentation.
What's included
| Service Tiers |
Starter
$10,000
|
Standard
$20,000
|
Advanced
$50,000
|
|---|---|---|---|
| Delivery Time | 20 days | 35 days | 70 days |
Number of Revisions | 2 | 3 | 3 |
Number of Tables Added | 10 | 20 | 35 |
Schema Diagram | |||
Permissions Setup | |||
Import/Export Data | |||
Admin Panel Setup |
Optional add-ons
You can add these on the next page.
Additional Data Source
(+ 5 Days)
+$5,000
Historical data backfill
(+ 2 Days)
+$2,000
Extended data quality
(+ 5 Days)
+$5,000Frequently asked questions
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DH
Dave H.
Apr 28, 2026
Data Engineer for Clinical Data Set
Grant was excellent at helping us understand and scope a strategic project.
JE
Jeremy E.
Oct 16, 2025
Data Warehouse Architecture Consultant Needed
Grant is knowledgeable and methodical, an excellent communicator. We're very happy with his work on this project.
RV
Rajiv V.
Oct 12, 2025
Data Engineer Needed for Azure and Snowflake ETL Projects
Grant has been an incredible asset during our proof of concept. His deep knowledge of data concepts and engineering best practices helped our team establish a strong foundation for the project. He is highly detail-oriented, responsive, and adaptable — even accommodating last-minute changes with ease. I truly appreciate his collaborative approach and would gladly work with him again. Highly recommended!
JW
Jay W.
Aug 14, 2025
Snowflake AWS Support
We engaged Grant to develop a system that processes large amounts of data sourced from a variety of formats. One of his standout qualities was an ability to translate our high-level requirements into a well-structured, modular architecture that effectively manages process transitions in accordance with our business requirements.
Grant expertly mapped dependencies and optimized data flows with both performance and maintainability in mind. His technical expertise in designing and implementing robust system architectures produced a work product that is not only technically sound but scalable, well-documented and aligned with industry best practices.
Because of his deep technical skills and flawless execution. I would recommend him without hesitation to anyone seeking a contractor who can handle complex systems work with precision, transparency, and professionalism.
Grant expertly mapped dependencies and optimized data flows with both performance and maintainability in mind. His technical expertise in designing and implementing robust system architectures produced a work product that is not only technically sound but scalable, well-documented and aligned with industry best practices.
Because of his deep technical skills and flawless execution. I would recommend him without hesitation to anyone seeking a contractor who can handle complex systems work with precision, transparency, and professionalism.
DN
Dan N.
Jul 30, 2025
Hourly Contract for Initial Proof of Concept
About Grant
Data & AI Solutions | AI Integration | Workflow Automation
100%
Job Success
Chicago, United States - 1:01 pm local time
Projects of any size. A lead-scoring model for Salesforce. Large-scale ETL with Snowflake, Airflow, and Python. Custom analytics applications that answer questions your team actually asks. When projects need more capacity, I tap a trusted network of developers and analysts I've worked with for years.
What I build:
- AI integrations (RAG, agents, document intelligence, local LLMs)
- Data infrastructure (Snowflake, Airflow, dbt, Python)
- Custom analytics applications
- Cloud architecture (AWS, Azure, GCP)
8+ years. 100% Job Success. Top Rated Plus. Expert Vetted.
If you want solutions built for how your business actually works, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Grant can start the project.
Delivery time starts when Grant receives requirements from you.
Grant works on your project following the steps below.
Revisions may occur after the delivery date.
Map and validate
Map your systems, validate access, and document the metrics and entities your model needs.
Build the warehouse
I build the integrations, the normalized model, and the continuous ETL pipelines, with data-quality rules per source.



