Building a Lambda-Style Feature Platform with GCP Native Services

Written by rajkatakam | Published 2025/08/22
Tech Story Tags: feature-engineering | ml-feature-store | bigquery-and-google-cloud | vertexai | dataflow | backfilling-data-in-sql | machine-learning | mlops

TLDRThis 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.via the TL;DR App
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Written by rajkatakam | ML and AI enthusiast.
Published by HackerNoon on 2025/08/22
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