Cloud Data Warehouse Design & Build (AWS)

Architecting scalable AWS Redshift data warehouses and modern S3 data lakehouses.

We design and build centralized cloud data warehouses on AWS Redshift from scratch or modernize existing ones, creating robust data marts, fact/dimension table schemas, and unified reporting layers.

Typical fits

Companies consolidating disparate operational data sources into a single source of truth

Organizations scaling past operational DB limits for executive reporting & analytics

Finance & operations teams needing sub-second cross-departmental query results

Businesses building or modernizing an AWS-native cloud data stack

How we deliver

01
Redshift cluster architecture, distribution keys, and sort keys design
02
Multi-source data ingestion using PySpark, Apache Sqoop, and AWS Glue
03
S3-based data lake integration with Redshift Spectrum and AWS Lake Formation
04
Dimensional modeling (Star & Snowflake schemas) for business data marts
05
Unified reporting view creation for BI tools like QuickSight and Power BI

Stack

AWS RedshiftAWS S3PySparkApache SqoopAWS GlueAWS Lake FormationQuickSight

See this in production: case studies

Need Cloud Data Warehouse Design & Build (AWS)?

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