Interview
summary
Builds and runs data pipelines that maintain a dataset of companies indexed by website and generates B2B targeting audiences for customers; focuses on production quality by enforcing idempotency, handling input mutability and using lambda architecture tradeoffs. Uses Scala and Spark heavily, reports moving beyond Spark in places while keeping functional paradigms and type-system safety to reduce bugs. Mentions interest in Unison and in specifying pipelines more succinctly with stronger typing.
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