I will build a python data pipeline with tests and scheduling

Your data arrives in files, APIs and exports that do not agree with each other, and somebody is stitching it together by hand every month.

I build that as a pipeline instead: a repeatable job that ingests your sources, normalizes them to one schema, and produces the output you actually need - on a schedule, without anyone babysitting it.

How I work:

Every source row is accounted for. Rows that fail to map are FLAGGED, never silently dropped. You get a reconciliation showing counts before and after.

Failure cases handled first: retries on transient errors, and an alert when a source is unavailable rather than a quietly empty report.

Credentials live in environment secrets you control, never in the code.

Tests included, so a provider changing their format is caught rather than discovered three weeks later.

I build these with CI, type checking, automated deployment and scheduled execution as standard. Your delivery includes the project-specific code, its tests and its documentation, to the scope of your package.

Message me with your sources and what the output needs to look like, and I will tell you honestly whether this is a fit before you order.