Abhishek Agnihotri
About Abhishek Agnihotri
Abhishek Agnihotri is a Senior Staff Engineer currently working at Altimetrik in Bengaluru, India, with extensive experience in data engineering and software development across several companies.
Current Role at Altimetrik
Abhishek Agnihotri holds the position of Senior Staff Engineer at Altimetrik, where he has been employed since 2021. His work is based in Bengaluru, Karnataka, India. In this role, he has been involved in significant projects, including the migration of Sputnik 1 API jobs to Sputnik 2 APIs using Spark. He has also utilized AWS Athena for data validation in the Satori Pipelines project.
Previous Experience in IT Consulting
Before joining Altimetrik, Abhishek Agnihotri worked at several notable companies in various engineering roles. He served as an Associate IT Consultant at ITC Infotech from 2016 to 2018 in Gurgaon, India. Prior to that, he was a Software Engineer at Mahindra Satyam from 2011 to 2014 in Hyderabad, where he gained foundational experience in software development.
Experience in Data Engineering
Abhishek Agnihotri has extensive experience in data engineering. He worked as a Senior Data Engineer at TIBCO from 2019 to 2021, where he focused on data processing and analytics. His role involved optimizing Spark jobs and managing the EMR cluster for the Airbnb project, contributing to the efficiency of data workflows.
Educational Background
Abhishek Agnihotri completed his Bachelor of Technology (B.Tech) degree at Kurukshetra University from 2006 to 2010. This educational background provided him with the technical foundation necessary for his career in software and data engineering.
Career Progression in Software Engineering
Abhishek Agnihotri has progressed through various roles in software engineering. He worked as a Senior Software Engineer at Tavant Technologies for one year from 2015 to 2016 in the Noida Area, India. He also held the position of Technology Lead - Big Data at Synechron from 2018 to 2019 in Pune Area, India, where he led initiatives in big data technologies.