# Unified Data Platform

Migrated legacy data infrastructure to a unified platform supporting analytics and AI at scale.

## Key Takeaways:

#### 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.