Overview
A leading health insurance company sought to modernize its data infrastructure to support dynamic decision-making across claims, sales, and customer operations. To reduce latency in accessing insights and enable real-time analytics at scale, the organization adopted a cloud-native Lakehouse architecture.
Challenges
35TB+ historical data and 10GB new data added daily
Legacy ETL pipelines unable to scale for 450+ business users
Disconnected data across marketing, claims, and operations
Inconsistent delivery timelines for insights
Solution
The enterprise implemented a Lakehouse platform using modern data engineering frameworks, integrating 120+ pipelines and 850+ Spark jobs. With a Delta Lake core, the platform delivered governed data access, ML integration, and enterprise-wide reporting with sub-5 hour processing timeframes.
Business Outcomes
Real-time insights available for marketing, claims, and customer ops
850 Spark jobs completed within 5 hours
Data democratized for 450+ users
Improved lead scoring, upselling, and campaign personalization
Foundation set for AI-driven underwriting and claim fraud detection
Testimonial
Partnering with Vintech IT Solutions has been a game-changer. Their innovative approach and dedicated support have transformed our IT operations, driving efficiency and unlocking new growth opportunities.
Working with this construction team was an absolute pleasure. They took our vision and transformed it into something even better than we could have imagined. Their creativity, dedication, and craftsmanship are unmatched.
The way Vintech complements us by always looking for the solution that provides the most value for our business case, makes Vintech the ideal partner. One that really helps us achieve our goals. Partly because of this, we look confidently at the future and our cooperation.
Project Details
One of the largest health insurers
Insurance
Lakehouse Implementation & Modern Data Architecture
Lakehouse Platform, Delta Lake, Insurance Analytics