Aditya Nema

Engineer @Brillio (Analytics Practice & Data Engineering) A Bain Capital Company @ Brillio

About Aditya Nema

Aditya Nema is an engineer at Brillio, specializing in analytics practice and data engineering. He holds a Bachelor of Technology in Computer Science from Nitte Institute of Technology and has experience with cloud platforms and programming languages.

Work at Brillio

Aditya Nema serves as an Engineer in the Analytics Practice and Data Engineering division at Brillio, a Bain Capital Company. He has been with the organization since 2021, contributing to various projects and initiatives in the field of data engineering. His role involves leveraging programming skills and cloud platforms to implement data solutions. Brillio focuses on delivering innovative technology solutions, and Nema's work aligns with the company's commitment to data-driven decision-making.

Education and Expertise

Aditya Nema completed his Bachelor of Technology (BTech) in Computer Science at Nitte Institute of Technology, Bangalore, from 2017 to 2021. Prior to that, he studied Computer Science at Campion School in Bhopal for 14 years, from 2003 to 2017. His educational background has equipped him with a solid foundation in programming and data engineering, with specific skills in SQL, Python, and Pyspark.

Background

Aditya Nema has a strong academic background in Computer Science, having studied at two notable institutions. His early education at Campion School in Bhopal laid the groundwork for his technical skills, which he further developed during his time at Nitte Institute of Technology. This progression has led him to his current role at Brillio, where he applies his knowledge in a professional setting.

Technical Skills and Projects

Aditya Nema possesses technical skills in various programming languages and tools, including SQL, Python, and Pyspark. He has experience in implementing projects and proof of concepts utilizing cloud platforms such as Azure and AWS. Additionally, he is proficient in using Databricks for data engineering tasks, which enhances his ability to manage and analyze large datasets effectively.

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