Scaling before profiling is like trying to fix slow internet by buying a bigger monitor. Sure, it looks cool, but nothing changes. In data engineering and Python-heavy pipelines, we often rush to scale clusters, spin up bigger machines, or move to distributed frameworks without ever asking: what’s actually slow? That’s where profiling steps in. Profiling... Continue Reading →