video1.0<iframe src="https://www.loom.com/embed/c971bf84f0e047f28b1826c092d2b4f1" frameborder="0" width="1660" height="1245" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12451660Loomhttps://www.loom.com12451660https://cdn.loom.com/sessions/thumbnails/c971bf84f0e047f28b1826c092d2b4f1-4e59ac426169ac7f.gif1179.891Hi, I'm Sharmila Bogadi, a data engineer specializing in healthcare analytics. In this video, I present my project called Migration Readiness Scorer, a tool that automates the assessment of whether a client's data is ready for migration to Snowflake. I used real data from the CMS Medicare inpatient dataset, consisting of 146,427 records, to demonstrate how my tool provides insights on data quality across four dimensions: completeness, uniqueness, consistency, and governance. The overall readiness score achieved is 92.50 out of 100, with minor issues identified. I encourage you to check out my GitHub repository for detailed documentation and SQL scripts related to this project.