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Covers schema mapping, ETL pipeline design, rollback strategies, and post-migration validation.\n\n## What It Does\n\nGiven source and target system details, this skill:\n1. Maps source → target schemas with field-level transformation rules\n2. Generates an ETL pipeline plan with staging, transform, and load phases\n3. Creates validation queries (row counts, checksum, referential integrity)\n4. Builds a rollback plan with point-of-no-return criteria\n5. 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Clean BEFORE migrating\n- **Dependencies**: Other systems reading from source during migration\n- **Compliance**: GDPR/HIPAA data handling during transit\n\n## Output Format\nDeliver a migration runbook as structured markdown with:\n1. Executive summary (what, why, when, risk level)\n2. Schema mapping tables\n3. ETL pipeline specification\n4. Validation test suite\n5. Cutover runbook with rollback\n6. Timeline with milestones\n\n## Cost Estimation\nTypical migration costs by complexity:\n- Simple (1-5 tables, <1M rows): $5K-$15K or 1-2 weeks internal\n- Medium (10-50 tables, 1-10M rows): $25K-$75K or 1-2 months\n- Complex (50+ tables, 10M+ rows, multiple systems): $100K-$500K or 3-6 months\n\n---\n\n**Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/)** — AI Context Packs for business automation.\n\nCalculate your AI automation ROI: [Revenue Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)\n","readmeExcerpt":"Data Migration Planner Plan, execute, and validate data migrations between systems. Covers schema mapping, ETL pipeline design, rollback strategies, and post-migration validation. What It Does Given source and target system details, this skill: 1. Maps source → target schemas with field-level transformation rules 2. Generates an ETL pipeline plan with staging, transform, and load phases 3. 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