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Building a Data Engineering Stack That Boosts Scalability

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Updating the data engineering stack streamlined data processing; reducing the time and effort invested in manual data handling. This process proved increasingly inefficient as our data needs expanded and analyses grew in complexity, leading to a lack of real-time accessibility to critical data points.