Pankaj Mahajan

Pankaj Mahajan

Data Engineer @ Verint

About Pankaj Mahajan

Pankaj Mahajan is a Data Engineer at Verint in the United Kingdom, where he has worked since 2022. He holds a Bachelor's degree in Information Technology from RGPV and has experience in various roles across multiple companies, including Siemens Energy and Infosys.

Work at Verint

Pankaj Mahajan has been employed as a Data Engineer at Verint since 2022. His role involves working on data-driven systems, focusing on architectural and scalability challenges. He has contributed to various projects within the organization, applying his expertise in data engineering to enhance operational efficiency.

Education and Expertise

Pankaj Mahajan holds a Bachelor of Engineering (BE) in Information Technology from RGPV, which he completed from 2008 to 2012. He furthered his education at the University of Oxford, where he studied Artificial Intelligence and completed a course on Developing Artificial Intelligence Applications in 2020. His educational background supports his proficiency in data engineering and artificial intelligence.

Professional Background

Pankaj Mahajan has a diverse professional background in data-related roles. He worked as a Data Scientist at Siemens Energy from 2020 to 2021 and as a Data Engineer at The Virtual Forge from 2019 to 2020, both in the United Kingdom. Prior to these roles, he served as a Database Developer & Operations Manager at Greymeter Services Pvt Ltd in India from 2014 to 2016 and as an Associate Database Architect at AP Techpins Pvt. Ltd. from 2017 to 2019.

Previous Experience

Earlier in his career, Pankaj Mahajan worked as a System Engineer at Infosys for five months in 2014. His varied experiences across different companies and roles have equipped him with a comprehensive skill set in data engineering, database management, and operations.

Skills and Attributes

Pankaj Mahajan is recognized for his hands-on experience in event organization and team building. He is known for his ability to tackle challenging architectural and scalability problems in data-driven systems. He demonstrates a commitment to excellence and adaptability, often taking on new responsibilities and challenges with confidence.

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