Building a Lambda-Style Feature Platform with GCP Native Services

This content originally appeared on HackerNoon and was authored by Raj Katakam

This article explores how we built a zero-ops, lambda-style feature engineering platform using Google Cloud’s native services. By combining BigQuery Materialized Views, Dataflow, and Vertex AI Feature Store, we reduced query costs by 1000x, simplified streaming pipelines, and eliminated infrastructure overhead. The result: a scalable, cloud-native solution that lets teams focus on feature logic instead of managing infrastructure.

This content originally appeared on HackerNoon and was authored by Raj Katakam