From Scaling APIs to Scaling Data to Scaling Your Team
summary
Starts with a 7am failed ETL job that exposes missing history and costly re-runs, and argues that hiring backend engineers accelerates building reliable pipelines for a FinOps platform that actually reduces cloud spend. Explains concrete gaps: handling high-volume, unpredictable data, expensive months of reruns to fix data bugs, and shared toolset like SQL and streaming plus system design and monitoring practices. Claims backend hires become product-minded data engineers and scale both product and team.
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