As a Data and Analytics Engineer at Microsoft, I help the Monetization and Business Planning organization turn complex data into insights that guide key business decisions. My focus essentially lies in building data solutions that are scalable and reusable; providing reliability and ensuring data integrity and SLA compliance for critical systems.Before joining Microsoft, I worked at Rockefeller Capital Management, where I spearheaded the implementation of firm-level data quality standards and governance practices, as well as instrumental in design and development of their Azure working environments, designed secure data pipelines, and helped improve reporting of firm-wide data quality to stakeholders. Prior to that, I led data engineering and machine learning projects at Walgreens, developing platforms and workflows to improve customer segmentation and personalization.My experience spans various industries, including telecom, logistics, and academia, where I’ve tackled challenges in data engineering and machine learning. I hold a Bachelor's in Electronics and Communications Engineering from Osmania University and a Master's in Computer Science from Northern Illinois University, with expertise in Azure Cloud Services, AWS, GCP Data Services, Databricks, Python, R, SQL, and more.