Python for Data Engineering

You’ve automated a few scripts. You’ve stitched together some cron jobs. But the moment your data grows—and your stakeholders expect hourly dashboards—everything starts to wobble. Pipelines break at 2 a.m. Deployments feel risky. Audits take days. What if you could orchestrate every step, from extract to deploy, with full control—and do it in a way…