Cory Monty

Join this session to learn how PayPal optimized customer experience and exceeded SLAs at scale by modernizing its data infrastructure and analytics. Discover how the company consolidated disparate data sources into Snowflake, leveraging Iceberg for future platform flexibility, and centralized back-office analytics and ETL processes for efficiency. See how it delivers near real-time insights and reconciliation to clients, architects applications for global scalability and explores future developments such as ML for business outcome prediction and generative AI for dynamic network adaptation, positioning itself at the forefront of hyperscale fintech.

PayPal has multiple cloud providers for data and reporting workloads. Learn how we shared our Snowflake generated data with multiple cloud providers without typical ETL processes by leveraging a Snowflake managed Apache Iceberg catalog, replication, and dynamic tables.