See how a leading fintech cut ETL runtimes from 8 hours to under 1 by migrating from IBM DataStage to a Databricks Lakehouse on AWS.

A leading global asset management firm had Databricks in place but adoption stalled: governance was fragmented, deployments were manual, and no one had visibility into access. SunnyData built an automated permission engine to keep Unity Catalog in sync with Snowflake, stood up a GitLab + DABs CI/CD pipeline, and shipped a self-service governance app. Result: deployment cycles dropped from days to minutes, with real-time access visibility across the entire firm.

A leading healthcare compensation consulting firm was spending weeks manually extracting data from thousands of provider contracts across inconsistent formats. SunnyData built an AI pipeline on Databricks using Amazon Textract and Bedrock that automatically pulls 50+ data points per contract, eliminating manual review entirely and delivering insights in hours instead of weeks.

SunnyData helped a global manufacturing enterprise replace three fragile Azure services with a single Databricks Lakehouse, cutting cloud infrastructure costs by 55% and turning raw IoT sensor data into real-time predictive maintenance alerts, all in 10 weeks.

SunnyData transforms Farmatodo's Databricks implementation: 60-70% faster dashboards, optimized semantic layer, and self-service BI for 100+ users.

dichter & neira, a leading LATAM market research firm serving Fortune 500 brands, transformed its data operations with SunnyData's Unity Catalog implementation and AI/BI Genie deployment. The solution delivered 2x system efficiency improvements while enabling natural language data queries across massive retail datasets, empowering both technical teams and business users with secure, segregated access to competitive intelligence.

A major regional bank in the Southeast United States partnered with SunnyData to modernize their data infrastructure using Databricks on Azure. This transformation enabled the bank to meet stringent regulatory requirements, enhance operational efficiency, and prepare for future growth.

Regional U.S. Bank - Financial Services - Case Study