About

Yadu Sharma is a highly skilled Data Engineer with expertise in Big Data, data streams, and implementing end-to-end data pipelines. He has a broad understanding of Spark architecture, including Spark Core, Pyspark, HDFS, Spark SQL, and Spark streaming. Yadu has extensive experience as a Python Developer with a strong understanding of object-oriented programming, data structures, and dynamic programming. With a strong database knowledge in SQL and NoSQL (DB2, MySQL, MongoDB), Yadu is a Senior Technology Consultant at EY, where he is responsible for designing and implementing data solutions for clients. Prior to his current role, he worked as an Automation Engineer at Ericsson and a Senior Software Engineer at NTT Data. Yadu holds a Bachelor of Technology degree in Computer Science from SRM University, where he achieved a GPA of 7.92. He has a wide range of technical skills, including Spark, Data Engineering, SQL, HDFS, Big Data, Python, MySQL, MongoDB, NoSQL, and Apache Hive. With 5.78 years of relevant experience, Yadu is a highly motivated and results-driven professional with a proven track record of delivering high-quality data solutions to clients. He is passionate about staying up-to-date with the latest technologies and using his expertise to solve complex data problems. Yadu is a valuable asset to any organization looking for a skilled and experienced Data Engineer.