About

Sapna Hargunani is a highly skilled Senior Data Engineer with extensive experience in the information technology and Data Engineering industry. With a demonstrated history of working in the field, she has developed expertise in Big Data Technologies like Spark, Hadoop, MapReduce, Hadoop, Hive, Oozie, and Cloud AWS Technologies. She is also proficient in programming languages such as Java/J2EE, Python, NoSql DB, Mongo, and ElasticSearch. Currently working as a Data Engineer Consultant at Accenture, Sapna has previously worked as a Module Lead Data Engineer at Impetus and as a Data Engineer at L&T. Her experience in these roles has given her a deep understanding of the industry and the ability to work effectively with teams to deliver high-quality results. Sapna holds a Master's degree in Computer Engineering from Rajiv Gandhi Prodyogiki Vishwavidyalaya and a Bachelor's degree in Computer Engineering from Devi Ahilya Vishwavidyalaya. She has also developed a diverse Tech Stack, including Data Engineering, Hadoop, AWS, Spark, MapReduce, Big Data, NoSQL, MongoDB, Elastic Search, Python, Java, Apache Hive, and infra. With 6.95 years of relevant experience, Sapna is a dedicated and passionate Data Engineer who is committed to delivering exceptional results. She is a team player who is always willing to go the extra mile to ensure that projects are delivered on time and within budget. Her strong communication skills and ability to work effectively with teams make her a valuable asset to any organization.