Gurudath Prakhya

Software Engineer @ Maveric Systems

About Gurudath Prakhya

Gurudath Prakhya is a Software Engineer at Maveric Systems Limited in Bangalore Urban, Karnataka, India, specializing in data and ETL pipeline design using Apache Airflow. He holds a Bachelor's of Technology in Computer Software Engineering from Jawaharlal Nehru Technological University and a Master's in Computer Science from Technische Universität Clausthal.

Work at Maveric Systems

Gurudath Prakhya has been employed at Maveric Systems Limited as a Software Engineer since 2021. He is based in Bangalore Urban, Karnataka, India. His role involves designing and architecting data and ETL pipelines, which are essential for managing data workflows. He has contributed to various projects that focus on optimizing data processes and ensuring the efficiency of data operations.

Education and Expertise

Gurudath Prakhya holds a Bachelor's of Technology in Computer Software Engineering from Jawaharlal Nehru Technological University, Hyderabad, where he studied from 2010 to 2014. He further advanced his education by obtaining a Master's degree in Computer Science from Technische Universität Clausthal, completing his studies from 2020 to 2022. His academic background provides a strong foundation for his expertise in software engineering.

Technical Specializations

Gurudath specializes in designing and architecting data and ETL pipelines, utilizing tools such as Apache Airflow for workflow management. He employs Spark and Databricks for data ingestion and framework services, particularly in data lake operations. His technical skills also include optimizing infrastructure for data extraction, transformation, and loading, leveraging SQL, Spark, and Azure technologies.

Data Management Responsibilities

In his current role, Gurudath Prakhya is responsible for assembling large and complex data sets to meet both functional and non-functional business requirements. His work ensures that data is accurately processed and available for analysis, which is critical for informed decision-making within the organization.

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