"Instead of diving headfirst into AI or modeling complex data sets, they find themselves knee-deep in data extraction, cleaning, and preparation… a domain many didn't realize they had signed up for."
"Disillusionment inevitably sets in for those who expected to spend their days building machine learning models, not writing SQL queries and setting up pipelines."
"The two fields require overlapping skills, particularly in the early stages—programming, database management, and some basic statistical knowledge."
"A savvy professional can start in a data science position and pivot into a data engineering career simply by stepping up to tackle the tasks others consider beneath them."
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