Break down silos and migrate to a cloud-native data architecture. We build the foundation that makes advanced AI possible.
Modernize Your StackGarbage in, garbage out. Most enterprises fail at AI because their data is locked in on-premise servers, fragmented across SaaS tools, or lacking schema consistency.
We help you migrate from legacy databases to modern cloud Data Warehouses and Data Lakes, establishing a "Single Source of Truth."
Our approach: ELT over ETL. Load raw data fast, then transform it within the warehouse.
From migration strategies to real-time streaming pipelines.
Moving on-premise Oracle/SQL Server databases to AWS RDS, Aurora, or Snowflake with zero downtime strategies.
Implementing modern Lakehouse architectures (Databricks/Iceberg) that combine the flexibility of lakes with the structure of warehouses.
Building robust pipelines using Fivetran, Airbyte, and dbt to automate data ingestion and transformation.
Architecting event-driven systems using Kafka or Kinesis for sub-second data processing and immediate insights.
Implementing catalogs (Alation/Collibra) and access controls to ensure compliance (GDPR/CCPA) without stifling access.
Setting up Looker, Tableau, or QuickSight on top of your modern stack to democratize data access for business teams.
Decentralizing data ownership to domain teams while maintaining global standards, allowing faster scaling for large orgs.
Automated testing pipelines (Great Expectations) to catch nulls, schema changes, and anomalies before they hit production.
Optimizing Snowflake and BigQuery queries to reduce compute costs and eliminate waste in your data spend.
We partner with the leaders in the modern data stack ecosystem.
Let's audit your infrastructure and build a roadmap to modernization.
Start Your Migration