Introduction
Every organization that collects information today, whether it's a five-person startup or a global enterprise, eventually runs into the same problem: raw data is messy, scattered, and useless until someone shapes it into something usable. That shaping work is the job of data engineering pipelines. They quietly move information from one system to another, clean it along the...
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