Nvg Krishna

Background

About Nvg Krishna

As a data engineer at CVS Health, I design and deploy end-to-end data pipelines using GCP Data Fusion to ingest, transform, and load healthcare data from diverse sources. I also leverage DAG-based workflow orchestration tools like Apache Airflow, enabling the scheduling and monitoring of complex data workflows. Additionally, I build and deploy scalable data ingestion frameworks to support real-time and batch data processing, enabling near-real-time analytics and reporting in the healthcare domain. With a solid academic background in Business Analytics from Temple University and a bachelor’s degree in engineering from the prestigious National Institute of Technology, Warangal, I have acquired a diverse skill set encompassing various analytical tools and programming languages. My technical proficiency spans Microsoft Excel, Tableau Visualization, SQL, Python, R, GCP and AWS, among others, enabling me to design, implement, and manage complex data pipelines, develop insightful data visualizations, and leverage advanced analytics techniques to derive meaningful business insights. Prior to joining CVS Health, I was a data engineer intern at Ticketmaster, where I collaborated with the development team to transform SQL queries into Pyspark scripts as part of the data warehouse migration project. I also implemented a prescriptive forecasted pricing strategy that provided stakeholders with predicted pricing analytics for ticket prices. Before that, I was a scientist and analytical engineer at Dr. Reddy's Laboratories, where I analyzed pharmaceutical sales data and prepared comprehensive reports and dashboards using Tableau. I also developed forecasting models to predict drug demand and inventory requirements, optimizing supply chain management and reducing stockouts. My goal is to contribute to the growth and innovation of an organization with my professional expertise in data engineering, analytics, and cloud computing. I am passionate about solving complex business problems using data-driven solutions and delivering value to customers and stakeholders. I am always eager to learn new skills and technologies, and I welcome new challenges and opportunities.