Namratha Hegde

Refactored the Azure DQ repository using Databricks Asset Bundles to deploy workflows and jobs efficiently. Built Azure DevOps pipelines with Python and PySpark, with deep CI/CD integration. Implemented unit tests for ETL scripts, designed the Data Quality Engine to automate end-to-end workflows, and acted as Lead Developer. Owned BAU data operations, job monitoring, incident resolution, and code enhancements. Created complex SQL checks for data validation and business rules enforcement. Optimized data engine performance and contributed to Power BI dashboards. Mentored junior developers and integrated GenAI solutions into BAU tasks.

Refactored the Azure DQ team repository using Databricks Asset Bundles to deploy workflows and jobs efficiently. Built Azure DevOps pipelines with Python and PySpark, with deep CI/CD integration. Implemented unit tests for ETL scripts. Designed the Data Quality Engine to automate end-to-end data workflows. Acted as Lead Developer, guided best practices, conducted code reviews, and led BAU data operations, monitoring, incident resolution, and enhancements. Created complex SQL checks for data validation and business rules; optimized data engine performance; contributed to Power BI dashboards; mentored junior developers; integrated GenAI into BAU processes.

Analyzed ChatGPT and GenAI technology across various sectors; automated manual Excel processes in Python; developed a workforce capacity model using Python and Prophet; created Power BI visualizations for workforce planning.