From lakehouse to platform product: Engineering data platforms developers love

Vineel Arekapudi discusses how Wells Fargo's enterprise lakehouse architecture evolved into internal platform products consumed through APIs, services, and self-service tooling. Drawing from the real-world implementation of a large-scale financial data platform, the session explores how ingestion, governance, and compute layers are packaged into reusable capabilities that developers and AI teams can adopt reliably.

Key takeaways:
• Turning lakehouse infrastructure into a consumable platform product
• Designing APIs and abstractions for data and ML workloads
• Balancing governance with developer experience
• Lessons from scaling platform adoption across enterprise teams such as market risk officers and data engineers