Legacy infrastructure limited scale and AI adoption
Existing AWS-based systems struggled with data volume, complex queries, and AI integration.
We migrated to a unified data platform
A modern lakehouse architecture was implemented to support analytics, ML, and collaboration at scale.
Databricks lakehouse implementation
Data pipelines and workloads were migrated to Databricks, enabling shared access across analytics, data engineering, and ML teams.
Scalable platform aligned to growth goals
The new platform supported increased data volumes, improved collaboration, and AI-first initiatives.
