Meghana P

Meghana P

Senior Data Engineer @ Advance Auto Parts

About Meghana P

Meghana P is a Senior Data Engineer with a Bachelor of Technology in Information Technology from Mahatma Gandhi Institute of Technology. She has worked at various companies, including the USPTO and Advance Auto Parts, and has extensive experience in Azure stream analytics, Power BI, and data engineering technologies.

Work at Advance Auto Parts

Meghana P currently serves as a Senior Data Engineer at Advance Auto Parts, a role she has held since 2023. Based in Raleigh, North Carolina, she focuses on data engineering projects that enhance the company's data processing capabilities. Her responsibilities include designing and implementing data solutions that support business operations and decision-making.

Previous Experience at USPTO

Before joining Advance Auto Parts, Meghana P worked as a Senior Data Engineer at the United States Patent and Trademark Office (USPTO) from 2021 to 2022. During her tenure in Alexandria, Virginia, she contributed to various data engineering initiatives, applying her expertise to improve data management and analytics within the organization.

Education and Expertise

Meghana P earned her Bachelor of Technology (BTech) degree in Information Technology from Mahatma Gandhi Institute of Technology, completing her studies from 2009 to 2013. Her educational background provides a solid foundation for her extensive experience in data engineering, particularly in cloud technologies and data analytics.

Career Background in Data Engineering

Meghana P has a diverse career in data engineering, having worked at Amazon from 2013 to 2018, where she developed proof of concepts in Spark using Scala. She then joined Thomson Reuters, where she worked from 2018 to 2021, focusing on data loading into Amazon Redshift and monitoring AWS RDS instances. Her experience spans multiple countries, including India and the United States.

Technical Skills and Projects

Meghana P possesses strong technical skills in various data technologies. She has extensive experience in designing Azure stream analytics jobs and has worked with Azure Event Hubs and Azure IoT Hub. Additionally, she is proficient in Power BI, NoSQL databases like Cosmos DB, and programming with Python, utilizing libraries such as Pandas and NumPy for data analysis and visualization.

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