Rajasekhar Reddy Palli

Rajasekhar Reddy Palli

Senior Data Analyst @ Advance Auto Parts

About Rajasekhar Reddy Palli

Rajasekhar Reddy Palli is a Senior Data Analyst with over 8 years of experience in data engineering, currently employed at Advance Auto Parts. He holds two Google Cloud certifications and has previously worked at Deloitte India and Capgemini, specializing in building data pipelines and analytical solutions using AWS and GCP.

Work at Advance Auto Parts

Rajasekhar Reddy Palli has been employed at Advance Auto Parts as a Senior Data Analyst since 2021. In this role, he focuses on data analysis and the implementation of analytical solutions. His expertise in data engineering contributes to the company's ability to leverage data for operational improvements and strategic decision-making.

Previous Experience at Deloitte India

Before joining Advance Auto Parts, Rajasekhar worked at Deloitte India as a Consultant from 2018 to 2021. During his three years in this role, he was involved in various data-related projects, utilizing his skills to deliver analytical solutions and enhance data management practices.

Background in Software Engineering

Rajasekhar began his career at DEFTeam Solutions Private Limited as a Software Engineer from 2014 to 2017. This role provided him with foundational experience in software development and data handling, which he later applied in his data engineering career.

Education and Expertise

Rajasekhar holds a Master of Computer Applications (M.C.A.) degree from Gokaraju Rangaraju Institute of Engineering and Technology, where he studied Computer Science from 2011 to 2014. His educational background supports his expertise in data engineering, particularly in building data pipelines and implementing analytical solutions.

Certifications and Skills

Rajasekhar possesses two Google Cloud certifications: Professional Data Engineer and Professional Cloud Architect. His skills include extensive work with ETL and data warehousing technologies, as well as a passion for implementing Big Data and data pipeline solutions in both on-premises and cloud environments.

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