Data Reconciliation in Action: VLOOKUP Tricks for ETL & Data Testing

Want to verify your source vs. target data fast without sweating over every row? This video shows practical data reconciliation using VLOOKUP in Excel and Google Sheets. You’ll see how to spot discrepancies early(at both end, Source and Target), avoid tedious row-by-row checks, and scale your process to thousands of records—whether you’re testing, migrating, or automating ETL pipelines.

What you’ll learn:
- How VLOOKUP maps source to target and flags mismatches
- Quick pre-checks that catch issues before automation runs
- When to use manual reconciliation vs. automated checks
- How to handle large datasets with reliable, repeatable steps
- A hands-on demo in both Excel and Google Sheets

Who this is for:
- Data testers, ETL developers, data engineers, and QA folk who want faster, cleaner data validation

What you’ll take away:
- A repeatable reconciliation workflow you can reuse
- Practical tips to avoid common pitfalls
- Simple templates and checklists you can tailor to your projects

If you find this helpful, hit Subscribe for more practical data quality, automation, and ETL tips. Drop your data reconciliation challenge in the comments and I’ll tailor a solution in a future video.
#DataReconciliation #ETL #DataTesting #DataQuality #DataEngineering #ExcelTips #GoogleSheets #VLOOKUP #DataValidation #DataAutomation #DataMigration #QA

Видео Data Reconciliation in Action: VLOOKUP Tricks for ETL & Data Testing канала ETL and Data Pipeline Testing