I will write python data validation and quality checks for your etl pipeline
AI Voice Cloning in Mandarin, Automation and Data Pipelines
Acerca de este Servicio
Stop silent data errors: automated Python + pytest checks that catch the failures your logs call "success".
Pipelines rarely crash they quietly return wrong data, like an API returning an empty list while the job logs success. I build the checks that catch those patterns.
WHAT YOU GET
- A findings report on issues in scope, with evidence and repro steps
- Custom checks in Python (pandas + pytest), full source code, yours to keep
- Premium: a GitHub Actions workflow for one repo, plus a failure runbook
CHECKS COVER: freshness, completeness, schema drift, cross-source consistency, failure-state accuracy.
SCOPE
- 1 Data Source = 1 CSV/JSON file, 1 table or view, or 1 API endpoint with one schema. Check counts are totals per order.
- Revisions: one round on the originally agreed data. New sources or rules: a Custom Offer.
Built from 32 documented real failures from running my own data systems sample cases on GitHub; a Sample Findings Report is in the gallery.
NO CALLS everything in writing on Fiverr. No DB credentials for Basic/Standard: send a data sample or a public endpoint URL.
A software engineering service I don't advise on what your data means for your business.
Idioma:
Chino (simplificado)
•
Inglés
Experiencia técnica:
Otros
Experiencia:
Canalización de datos
•
Gobernanza de Datos
industria:
Análisis de Datos
•
Servicios financieros
FAQ
Do I have to give you access to my database?
No. A representative data sample or the URL of a public, unauthenticated endpoint is enough for Basic and Standard. Premium delivers a ready-to-commit GitHub Actions workflow file - direct repository integration is optional and needs authorized, least-privilege access.
What if you don't find anything wrong?
That's the best case! You still receive the full Python check suite as a permanent regression safeguard, plus a scoped pass report showing exactly what was tested, the inputs used, and the limitations - reproducible evidence either way.
Can you fix the problems you find?
Yes - after the audit I can send a separate Fiverr Custom Offer for remediation, so you're never paying for repair work before we both know what's broken.
What tools do you use?
Industry-standard Python, pandas and pytest - clean, lightweight code with a minimal dependency set, targeting the Python environment we agree on. No expensive proprietary vendor platform required.
Do you offer ongoing monitoring?
Yes. After the audit, message me here on Fiverr and I can send a Custom Offer for a defined monitoring period and scope. All communication and payment stay on Fiverr.

