Shatru Soodan

Lead Data Engineer @ Xceedance

About Shatru Soodan

Shatru Soodan is a Lead Data Engineer at Xceedance, where he has worked since 2015. He specializes in big data analysis and data migration using Azure Cloud technology and has designed a bootcamp program for onboarding new engineers.

Work at Xceedance

Shatru Soodan has been serving as the Lead Data Engineer at Xceedance since 2015. In this role, he has been responsible for overseeing data engineering projects and ensuring the efficient management of data solutions. His work involves contributing to the entire lifecycle of data solutions, from requirements gathering to productionization, within an agile work environment. He has played a key role in designing a bootcamp program aimed at onboarding and mentoring new engineers, fostering a collaborative and educational atmosphere within the team.

Education and Expertise

Shatru Soodan holds a Bachelor of Technology (BTech) in Computer Science from Uttar Pradesh Technical University. He furthered his education by completing a Post Graduate Certificate Program (PGCP) in International Business and Finance at the Indian Institute of Foreign Trade from 2020 to 2021. His educational background provides a solid foundation for his expertise in data engineering and management.

Background in Data Engineering

Before joining Xceedance, Shatru Soodan worked as a Software Engineer at Vichara Technologies from 2011 to 2015. During his tenure there, he gained valuable experience in software development and data management. His technical skills include migrating data from various sources using Azure Cloud technology, employing Azure DataBricks and pySpark for big data analysis, and utilizing Azure Data Factory for orchestrating data pipelines.

Technical Skills and Tools

Shatru Soodan specializes in using Azure Cloud technology for data migration and management. He employs Azure DataBricks and pySpark for conducting big data analysis within Azure data warehouse environments. His proficiency in Azure Data Factory allows him to orchestrate data pipelines, ensuring seamless data movement across various platforms. These technical skills enable him to effectively contribute to complex data engineering projects.

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