Nayan Sharma
About Nayan Sharma
Nayan Sharma is a Senior Lead Engineer with expertise in building scalable distributed big data applications. He has strong skills in various technologies including Apache Kafka, Scala, Python, and Apache Spark, and has worked for notable companies such as Airtel and InnovAccer.
Current Role at Airtel
Nayan Sharma currently serves as a Senior Lead Engineer at Airtel, a position he has held since 2022. In this role, he focuses on developing and managing big data solutions, leveraging his extensive experience in the field. His work is based in Gurugram, Haryana, India, where he contributes to the company's big data initiatives.
Previous Experience at Airtel
Prior to his current role, Nayan Sharma worked at Airtel as a Senior Software Developer-Big Data from 2017 to 2020. During this three-year period, he was involved in various projects that required advanced knowledge of big data technologies. He also held the position of Lead Engineer-Big Data at Airtel from 2020 to 2022, further enhancing his expertise in the domain.
Experience at InnovAccer
Nayan Sharma worked at InnovAccer as a Senior Software Development Engineer from 2016 to 2017. His tenure at the company lasted for one year, during which he contributed to software development projects, applying his skills in technology and engineering.
Professional Background at Infosys
Before joining InnovAccer, Nayan Sharma was employed at Infosys as a Systems Engineer from 2014 to 2016. His role involved working on various systems engineering projects, which helped him build a solid foundation in software development and engineering practices.
Education and Expertise
Nayan Sharma completed his education at West Bengal University of Technology, Kolkata, where he graduated with a degree in Information Technology from 2009 to 2013. He also attended C S DAV Public School, achieving his 10th grade from 1998 to 2006. He possesses strong skills in technologies such as Apache Kafka, Scala, Python, Apache Spark, NIFI, Hadoop, HDFS, YARN, and Airflow, and has expertise in building highly scalable distributed big data applications.