You will get an enterprise data warehouse using Kimball methodology
Project details
A well-designed data warehouse is the foundation of reliable reporting and analytics. I will design a scalable enterprise data warehouse tailored to your business requirements using proven dimensional modeling principles.
Whether you're starting from scratch or modernizing an existing solution, I'll create a clean, maintainable architecture that supports business intelligence, dashboards, and future growth.
What you'll receive
✔ Business requirements review
✔ Conceptual, logical, and physical data models
✔ Star or Snowflake schema design
✔ Fact and dimension table design
✔ Surrogate key strategy
✔ Slowly Changing Dimensions (Type 1 & Type 2)
✔ Data warehouse architecture recommendations
✔ ERD (Entity Relationship Diagram)
✔ Documentation and implementation guidance
Ideal for
Enterprise reporting
Business intelligence platforms
Analytics initiatives
Customer data platforms
Operational reporting
Technologies: SQL, Databricks, Delta Lake, PostgreSQL, Microsoft SQL Server, Kimball Methodology
Whether you're starting from scratch or modernizing an existing solution, I'll create a clean, maintainable architecture that supports business intelligence, dashboards, and future growth.
What you'll receive
✔ Business requirements review
✔ Conceptual, logical, and physical data models
✔ Star or Snowflake schema design
✔ Fact and dimension table design
✔ Surrogate key strategy
✔ Slowly Changing Dimensions (Type 1 & Type 2)
✔ Data warehouse architecture recommendations
✔ ERD (Entity Relationship Diagram)
✔ Documentation and implementation guidance
Ideal for
Enterprise reporting
Business intelligence platforms
Analytics initiatives
Customer data platforms
Operational reporting
Technologies: SQL, Databricks, Delta Lake, PostgreSQL, Microsoft SQL Server, Kimball Methodology
Database Type
MySQL, PostgreSQLWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Source Code | - | - | - |
About Stephen
Data Modeler | SQL | Python | ETL | Database Design | Data Analysis
Nairobi, Kenya - 1:56 pm local time
My experience includes designing enterprise data models, implementing dimensional modeling using the Kimball methodology, developing SQL transformations, and building modern data platforms using Databricks and Delta Lake. I focus on creating solutions that are accurate, maintainable, and scalable as your business grows.
Services I Offer
✔ Data Warehouse Design (Star Schema & Snowflake Schema)
✔ Dimensional Modeling (Kimball Methodology)
✔ Databricks Lakehouse Development
✔ ETL & ELT Pipeline Development
✔ SQL Query Development & Performance Optimization
✔ PySpark Data Transformations
✔ Delta Lake Implementation
✔ Slowly Changing Dimensions (Type 1 & Type 2)
✔ Data Quality Validation
✔ Database Design & Data Modeling
✔ Reporting & Analytics Data Preparation
Technologies
• Databricks
• SQL
• Python
• PySpark
• Delta Lake
• PostgreSQL
• Microsoft SQL Server
• ER Studio
• Git
How I Work
I begin by understanding your business requirements before designing solutions that are simple, scalable, and easy to maintain. I emphasize clean architecture, well-documented code, and data models that remain useful as your business evolves.
Whether you need a new data warehouse, improvements to an existing platform, SQL optimization, or reliable ETL pipelines, I can help you build a solution that supports confident business decisions.
Steps for completing your project
After purchasing the project, send requirements so Stephen can start the project.
Delivery time starts when Stephen receives requirements from you.
Stephen works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirements
Review your business objectives, reporting needs, source systems, and technical requirements
Architecture Design
Design the overall data warehouse architecture, including ingestion, storage, transformation, and reporting layers.