Remember when data scientists spent 80% of their time wrestling with data wrangling instead of building models? I’d argue that today’s data engineers face similar challenges, but with the added complexity of infrastructure setup. We’re architects of entire data ecosystems, orchestrating everything from real-time pipelines to AI workflows. The secret? Infrastructure as Code and DevOps principles that transform scattered server management into elegant, declarative configurations. The catc...
