Ankit Shaw
About Ankit Shaw
Ankit Shaw is a Data Specialist currently employed at Brillio in Pune, Maharashtra. He has a background in Electrical, Electronics and Communications Engineering and has held various roles in data and technology at companies including Infosys and KPMG Global Services.
Work at Brillio
Ankit Shaw has been employed at Brillio as a Data Specialist since 2022. His role involves leveraging his expertise in data analytics and cloud technologies to support various data-driven initiatives. Based in Pune, Maharashtra, he contributes to projects that utilize advanced data processing techniques.
Previous Experience at Infosys
Ankit Shaw has a significant history with Infosys, where he held multiple positions. He worked as a System Engineer from 2015 to 2017 and later served as a Senior System Engineer from 2017 to 2019. His tenure included two years in Pune, Maharashtra, and two years in London, England, where he advanced to the role of Technology Analyst from 2019 to 2021.
Consultant Role at KPMG Global Services
Ankit Shaw worked as a Consultant at KPMG Global Services (KGS) for a period of seven months in 2021 to 2022. This role allowed him to apply his analytical skills and knowledge in a consulting environment, contributing to various projects in India.
Education and Expertise
Ankit Shaw earned his Bachelor of Technology (BTech) degree in Electrical, Electronics, and Communications Engineering from West Bengal University of Technology, studying from 2010 to 2014. He also graduated from Gurunanak Institute of Technology with a focus on information technology. His technical expertise includes proficiency in Google Cloud Platform, Big Data Analytics, and programming languages such as Python and Core Java.
Technical Skills and Tools
Ankit Shaw possesses strong technical skills in data processing and analytics. He is proficient in using tools such as Apache Spark, Hive, and Sqoop. Additionally, he has a solid foundation in Unix systems, which supports his capabilities in managing and processing large datasets.