6 interactive modules covering 80+ real interview questions — with visual explanations, quizzes, and scenario-based practice.
From fundamentals to brain-teasers — structured for interview success
Why data quality matters for trust, decisions, and compliance. The cost of bad data, and how modern data stacks tackle it.
The 6 dimensions every interviewer asks about: completeness, validity, accuracy, consistency, timeliness, uniqueness. Plus row-level vs aggregate checks.
Detecting schema drift, breaking vs non-breaking changes, data contracts in YAML/JSON, schema registries, and CI/CD enforcement.
Freshness SLAs, dynamic thresholds, anomaly detection, alert routing by severity, runbooks, and common failure modes.
Unit tests for transforms, golden datasets, quarantine pattern for bad data, validation vs reconciliation, and idempotency checks.
15 tricky scenario questions, "your pipeline is broken" debugging exercises, common pitfalls, and rapid-fire Q&A rounds.