Taylor Scott Amarel

Experienced developer and technologist with over a decade of expertise in diverse technical roles. Skilled in data engineering, analytics, automation, data integration, and machine learning to drive innovative solutions.

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Building a Scalable Data Engineering Technology Framework for Modern Analytics

Introduction: The Imperative of a Scalable Data Engineering Framework In today’s data-driven world, organizations are increasingly reliant on their ability to extract valuable insights from vast and diverse datasets. This necessitates a robust and scalable data engineering framework that can efficiently manage the entire data lifecycle, from ingestion to consumption. Building such a framework is