Cloud Data Warehouse
Analytics infrastructure that scales with your data.
We build cloud data warehouses that centralize your data for analytics. AWS Glue ETL, Redshift analytics, or Snowflake—architected for performance and cost efficiency.
- Redshift and Snowflake warehouse setup
- AWS Glue ETL pipelines
- Data modeling for analytics and BI
- Cost optimization and query tuning
- Migration from on-premise or legacy systems
- Integration with BI tools
Analytics infrastructure that scales with your data.
Data Engineering
Technologies We Use
Cloud data warehouse stack
What we deliver
Production-ready data warehouse with ETL and documentation.
Data warehouse
Redshift or Snowflake warehouse optimized for your workload.
ETL pipelines
AWS Glue or dbt pipelines for data ingestion and transformation.
Data models
Dimensional models designed for analytics performance.
Documentation
Architecture diagrams, data dictionary, and operational guides.
How We Work
A structured approach to building data warehouses.
Discovery
Inventory data sources, define analytics requirements, and assess current state.
Architecture
Design warehouse schema, ETL pipelines, and data models.
Build
Implement warehouse, pipelines, and initial data loads.
Optimize
Query tuning, cost optimization, and BI integration.
Engagement models
Flexible options for data warehouse projects.
Warehouse quickstart
Basic Redshift or Snowflake setup with core data sources.
$15,000 - $28,000
Full DWH build
Complete warehouse with ETL, modeling, and BI integration.
$35,000 - $60,000
Managed DWH
Ongoing warehouse optimization and new data source integration.
$6,000 - $15,000/mo
Certifications & Partners
What clients are saying
Results from data warehouse implementations.
"Query time dropped from 30 minutes to 10 seconds. Analysts actually use the data now."
"Consolidated 12 data silos into one warehouse. Finally have a single source of truth."
"Migrated from on-prem Oracle to Redshift. Costs dropped 60%, performance improved 5x."
Frequently asked questions
Redshift vs. Snowflake?
Redshift for AWS-heavy environments with predictable workloads. Snowflake for multi-cloud, variable workloads, and easier administration. We recommend based on your context.
How long does a warehouse build take?
Basic setup in 4-6 weeks. Full implementation with multiple sources and modeling typically 8-14 weeks.
Can you migrate from our existing warehouse?
Yes. We handle migrations from Oracle, SQL Server, Teradata, and other warehouses with data validation.
How do you handle costs?
We implement query optimization, proper clustering, and monitoring. Reserved capacity and workload management keep costs predictable.
Ready to build a modern data warehouse?
Share your analytics challenges and we'll design a warehouse strategy in a 30-minute call.
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