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Cloud Data Warehouse
We build cloud data warehouses that centralize your data for analytics. AWS Glue ETL, Redshift analytics, or Snowflake—architected for performance and cost efficiency.
Data Engineering
Cloud data warehouse stack
Production-ready data warehouse with ETL and documentation.
Redshift or Snowflake warehouse optimized for your workload.
AWS Glue or dbt pipelines for data ingestion and transformation.
Dimensional models designed for analytics performance.
Architecture diagrams, data dictionary, and operational guides.
A structured approach to building data warehouses.
Inventory data sources, define analytics requirements, and assess current state.
Design warehouse schema, ETL pipelines, and data models.
Implement warehouse, pipelines, and initial data loads.
Query tuning, cost optimization, and BI integration.
Flexible options for data warehouse projects.
Basic Redshift or Snowflake setup with core data sources.
$15,000 - $28,000
Complete warehouse with ETL, modeling, and BI integration.
$35,000 - $60,000
Ongoing warehouse optimization and new data source integration.
$6,000 - $15,000/mo
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."
"Query time dropped from 30 minutes to 10 seconds. Analysts actually use the data now."
Redshift for AWS-heavy environments with predictable workloads. Snowflake for multi-cloud, variable workloads, and easier administration. We recommend based on your context.
Basic setup in 4-6 weeks. Full implementation with multiple sources and modeling typically 8-14 weeks.
Yes. We handle migrations from Oracle, SQL Server, Teradata, and other warehouses with data validation.
We implement query optimization, proper clustering, and monitoring. Reserved capacity and workload management keep costs predictable.
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