Data Handling
Data Validation Pipelines
Design validation rules with pydantic and custom checks. Alert when schemas drift and log anomalies for review.
580,000 KRW
Request informationFeatures
- Schema definition patterns
- pydantic models in practice
- Great Expectations intro
- Alert email templates
- Versioned validation configs
- Rollback strategies
- Audit trail logging
Outcomes
- Block bad rows before dashboard refresh
- Document validation rules for auditors
- Reduce manual spreadsheet checks
Taeyang Kim
Exercise reviewer focused on data quality workflows.
FAQ
DataFrames with pandas or similar tabular Python experience.
Reviews
Validation Pipelines caught a column rename before our Monday report. pydantic section was the standout.
— Kyungsoo, Data coordinator