Automated data processing tasks using Shell scripting, PL/pgSQL, Python, and Transact‑SQL, increasing productivity and efficiency.

Situation. There was a steady load of recurring data‑processing work being done by hand. Manual data work has two problems at once: it eats time, and it’s inconsistent — do the same task by hand enough times and it’ll get done slightly differently, and some of those differences are errors.

Task. The aim was to automate these tasks, both to get the time back and to make them reliable.

Action. The data‑processing work got automated across the databases and systems it touched, using whatever fit the job — Shell scripting for the glue, PL/pgSQL and Transact‑SQL down in the databases, Python where it needed more than SQL could give. Manual steps got replaced with jobs that ran the same way every time, which is the whole point: a script doesn’t get bored, doesn’t skip a step, and doesn’t do it differently on a Friday afternoon.

Result. Productivity and efficiency both went up, the manual effort came off people’s plates, and the data processing became consistent and dependable instead of a source of small, recurring errors.