About

Kuber Sharma is an experienced data engineer with a passion for transforming data into actionable insights. With a strong background in big data technologies, Kuber is skilled in a variety of tools and platforms, including Pyspark, Airflow, Hive, Sqoop, GCP, Spark Scala, Dataproc, Bigquery, Cloud Storage, CICD pipelines, NIFI, PIG, Hadoop Architecture, and Excel. Currently working as a Data Engineering Analyst at Accenture, Kuber has also gained valuable experience as a Software Engineer at Infogain. He holds a Bachelor of Technology degree in Information Technology from GL Bajaj Institute, where he studied from 2015 to 2019. In addition to his formal education, Kuber has a strong foundation in senior secondary education from Delhi Public School, where he studied from 2014 to 2015. He also completed his high school education at Delhi Public School from 2001 to 2013. Kuber's technical expertise includes data engineering, big data, Apache Airflow, SQL, Spark, Scala, Hadoop, GCP, and software engineering. With 4.20 years of relevant experience, he has a proven track record of delivering high-quality solutions that meet business needs. Overall, Kuber is a highly skilled data engineer who is passionate about leveraging technology to drive business success. With his strong technical skills and business acumen, he is well-equipped to tackle complex data challenges and deliver actionable insights that drive real results.