Sravan Kumar Raparthi

Sravan Kumar Raparthi

Lead Big Data Engineer @ Boston Scientific

About Sravan Kumar Raparthi

Sravan Kumar Raparthi is a Lead Big Data Engineer at Boston Scientific with extensive experience in various prominent companies and expertise in AWS, GCP, Hadoop, and Spark.

Current Title at Boston Scientific

Sravan Kumar Raparthi currently serves as a Lead Big Data Engineer at Boston Scientific. He began this role in 2023 and works remotely from Minnesota, United States. His responsibilities likely involve managing and optimizing large-scale data infrastructures and ensuring data quality and accessibility for critical business processes.

Previous Role at Expeditors

Before joining Boston Scientific, Sravan Kumar Raparthi worked as a Senior Big Data Engineer at Expeditors from 2022 to 2023. This remote role, based out of Seattle, Washington, allowed him to leverage his skills in big data technologies to improve data handling and analysis practices within the company.

Educational Background at Texas A&M University-Kingsville

Sravan Kumar Raparthi holds a Master of Science degree in Computer Science from Texas A&M University-Kingsville. He completed his studies from 2014 to 2015. This educational foundation has been instrumental in shaping his expertise in big data engineering and advanced data technologies.

Certifications and Technical Expertise

Sravan Kumar Raparthi is certified as a professional data engineer by Google Cloud and holds an Azure Solution Architect Expert certification. He is proficient in several big data and cloud technologies, including Amazon Web Services (AWS), Google Cloud Platform (GCP), Hadoop, and Spark. These certifications and skills enable him to effectively manage and scale complex data environments.

Professional Experience and Collaborations

Throughout his career, Sravan Kumar Raparthi has collaborated with industry leaders like Cargill, Micron Technology, Best Buy, and Boston Scientific. His roles have ranged from Big Data Engineer to Senior Big Data Engineer, consistently delivering substantial value through enhanced data processing capabilities. His professional journey reflects a commitment to solving complex data challenges and leading teams towards innovative solutions.

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