Sravya P

Data Engineer @ Rx Savings Solutions

About Sravya P

Sravya P is a Data Engineer at Rx Savings Solutions in Overland Park, Kansas, with a background in software development and data engineering.

Current Position at Rx Savings Solutions

Sravya P is currently employed as a Data Engineer at Rx Savings Solutions, located in Overland Park, Kansas, United States. In this role, she focuses on developing and optimizing ETL processes, improving the efficiency of data pipelines. Her work also includes implementing data quality checks and validation processes to ensure data accuracy and reliability.

Previous Roles and Experience

Prior to her current role, Sravya P worked as an Associate Software Developer (ETL) at Rx Savings Solutions from 2019 to 2021. She has also held the position of Student Assistant at the University of Missouri-Kansas City for eight months between 2018 and 2019. Earlier in her career, she worked as a Software Engineer at Accenture in the Hyderabad Area, India, from 2016 to 2017. Throughout her career, she has gained experience in both software development and data engineering, showcasing her versatile skill set in the tech industry.

Education in Computer Science and Engineering

Sravya P completed her Master’s degree in Computer Science from the University of Missouri-Kansas City between 2018 and 2019. Prior to that, she obtained a degree in Electronics and Communication Engineering (ECE) from the G. Narayanamma Institute Of Technology And Science, where she studied from 2012 to 2016. Her educational background has provided her with a strong foundation in both the theoretical and practical aspects of computer science and engineering.

Contributions to Data Integration Projects

During her tenure at Rx Savings Solutions, Sravya P has contributed significantly to data integration projects. She has been involved in consolidating data from multiple sources into a unified data warehouse. Additionally, she played a key role in the automation of data workflows, which reduced manual intervention and increased operational efficiency.

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