How FAANG Engineers Use Data Pipelines to Automate Decisions

The Tech Career Podcast with Fexingo: Engineering Jobs, Interviews, and FAANG Career Strategy · Jul 19, 2026 · 6m

In this episode, Lucas and Luna explore how FAANG engineers build data pipelines to automate decision-making at scale. Using a concrete example from Netflix's content recommendation system, they break down the key components: event streaming with Apache Kafka, real-time processing with Flink, and feature stores for machine learning. Lucas explains how Netflix generates millions of personalized recommendations per second using a pipeline that ingests viewing events, processes them in real time, and serves predictions through a low-latency API. Luna asks about trade-offs like cost versus…