Dhanush Punugoti
Senior Data Engineer @CVS Health
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WORK HISTORY
Senior Data Engineer @CVS Health
Highly accomplished Data Engineer with extensive experience in designing and implementing end-to-end ETL workflows, real-time data streaming solutions, and scalable data pipelines using Azure and Big Data technologies. Proficient in Python, PySpark, Scala, and Power BI for advanced data processing, transformation, and visualization. Skilled in leveraging Azure services such as Data Factory, Databricks, and Snowflake for efficient data movement, analytics, and secure storage. Expertise in Kafka-based real-time data integration, complex data modeling, and optimizing performance across cloud and on-premise environments. Adept at automating workflows, ensuring data security, and delivering actionable insights to support business decision-making.
ABOUT DHANUSH PUNUGOTI
A highly skilled Senior Data Engineer with over a decade of experience in Big Data, Data Warehousing, and Business Intelligence across diverse industries. Proficient in designing and implementing scalable data solutions using Hadoop ecosystems, cloud platforms such as AWS and Azure, and advanced ETL pipelines for seamless data integration and analytics. Expertise in tools like Azure Data Factory, Databricks, and Snowflake ensures efficient data storage, processing, and retrieval. With strong programming skills in Python, SQL, PySpark, and Scala, and experience in real-time data streaming using Kafka, the candidate excels at managing multi-terabyte data warehouses, optimizing data pipelines, and delivering actionable insights through visualization tools like Power BI and Tableau. Their ability to automate workflows, ensure data security, and collaborate across teams makes them a valuable resource for driving data-centric business solutions.
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