
The once-ubiquitous sight of a data scientist spending countless hours manually wrestling with broken CSV files and syntax errors has finally vanished from the modern corporate landscape. While the industry previously viewed the data professional as a solitary figure hunched over a terminal, the reality today is far more sophisticated. The manual labor of data preparation, once considered the necessary










