Sathwika Thippana

I’m an Azure Data Engineer focused on enterprise data modernization—building and validating ingestion, transformation, and curation workflows using Azure Databricks, PySpark, and Spark SQL. In my internship at Advent Global Solutions (client: Johnson & Johnson), I helped support large-scale data processing for business reporting.

I work end-to-end on data pipelines and quality checks: building ETL/ELT pipelines, performing source-to-target mapping, and validating transformations through reconciliation and functional validation. I also integrated Common Data Layer (CDL) and Master Data Management (MDM) datasets to strengthen enterprise data integration.

I’m especially drawn to migration and decommissioning work—supporting PRMS Decommissioning initiatives with reconciliation, transformation validation, and migration support. I document technical designs, prepare validation and reconciliation reports, and collaborate closely with developers, QA teams, and business analysts to deliver reliable analytics-ready data.