Barsha Panda
Data Engineer @CVS Health
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WORK HISTORY
Data Engineer @CVS Health
US
Implemented serverless data processing with AWS Lambda, reducing operational overhead and improving cost efficiency by 50%.• Developed and maintained various DBT models and macros, focusing on incremental model design and modularization, resulting in a 40% increase in data pipeline efficiency and a 25% reduction in pipeline execution time.• Created Airflow DAGs (Directed Acyclic Graphs) to schedule and monitor data processing tasks for various applications, providing a centralized view for data pipeline orchestration.• Leveraged PySpark for large-scale data processing and analytics tasks within the Apache Spark ecosystem and utilized DataFrames and SQL functionalities for efficient data manipulation.• Developed and optimized Apache Spark jobs for large-scale data processing tasks, including filtering, aggregation, and transformations using Spark SQL, DataFrames, and RDDs.
EDUCATION
University of North Texas
Master's degree, Management Information Systems and Technology
National Institute of Technology Rourkela
Master of Business Administration - MBA, Marketing
Siksha 'O' Anusandhan University
Bachelor of Technology - BTech, electronic and instrumentation engineering
ABOUT BARSHA PANDA
5+ years of experience as a Data Analyst with a proven track record in leveraging…
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