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 Science Infrastructure: A Practical Guide

Introduction: The Imperative of Scalable Data Science In the rapidly evolving landscape of data science, the ability to scale operations is no longer a luxury but a necessity. The sheer volume of data generated today, coupled with the increasing complexity of machine learning models, demands robust and scalable infrastructures. Organizations across various sectors, from finance