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Neville Li Interview

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Spotify runs 200 to 300 developers on Scala data pipelines and faces concrete scaling pain points: immutable collections create lots of tiny object allocation that triggers JVM GC pauses, and libraries must balance ease of use with performance for many nonfunctional programmers. The team experiments with Apache Beam to unify batch and streaming but finds streaming introduces real complexity around windowing, failures and latency that inflates pipeline code and debugging effort.

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