Data · Intermediate · Online live
Data Pipeline Automation
Orchestrate ETL jobs with Airflow and test data contracts in automated workflows.
Duration: 10 weeks
Format: Online live
Price: ₩1,750,000
Informational only — no checkout on this site.
Request information Money-Back PolicyOverview
For analysts and engineers building reliable data movement. Covers scheduling, retries, data quality checks, and operational handoffs.
What is included
- Airflow DAG design patterns
- Data contract testing intro
- Backfill strategies
- Observability for batch jobs
- Cost-aware scheduling tips
- Mentor review of DAG structure
- Portfolio DAG documentation
Outcomes
- Deploy a scheduled pipeline with alerts
- Implement a contract test on sample data
- Write a runbook for failed partitions
Mentor
Jin-woo Baek
Data platform engineer; batch and streaming hybrids.
FAQ
Intermediate SQL is expected; Python for operators is taught in-module.
Reviews
Contract testing section was newer to me — mentor examples used our retail sample schema convincingly.