Interview
summary
Senior data engineer describes building a concrete solution to the persistent problem of joining disparate datasets for acquisition and experimentation, used on Netflix growth pipelines to enable non-member acquisition and faster experiment analysis. The system replaces ad‑hoc manual joins, cuts time-to-insight, and is intended for open-source release to attract external contributions. Background work draws on nine years in big data and focuses on measurable improvements to experiment throughput and data product reliability.
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