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Mayuri Patole
Module Lead at Datametica Solutions Private Limited | AWS Certified | Scala | Spark | GCP | Hadoop | Hive | Airflow | Core Java
About
Mayuri Patole is an experienced Senior Software Engineer with a strong background in Apache Spark, Scala, Hadoop, Hive, HBase, Sqoop, Apache Flume, Kafka, and Core Java. She is currently working at EPAM Systems as a Senior Software Engineer, where she applies her expertise in developing and implementing scalable, high-performance, and fault-tolerant systems. Mayuri has a Bachelor's degree in Computer Engineering from Vishwakarma Institute of Information Technology, which she completed in 2016. With 6.86 years of relevant experience, she has worked with some of the leading organizations in the industry, including Persistent Systems, where she served as a Lead Project Engineer and Senior Software Engineer. Mayuri is a skilled developer who has demonstrated her ability to work effectively in a team environment. She is adept at identifying and resolving complex technical issues, designing and implementing efficient algorithms, and optimizing system performance. Her proficiency in Spark, Scala, Hadoop, and other related technologies has allowed her to develop innovative solutions for various business problems. In addition to her technical skills, Mayuri is an excellent communicator and has a strong work ethic. She is passionate about learning new technologies and keeping up with the latest industry trends. Her ability to adapt to changing requirements and deliver high-quality work on time has made her a valuable asset to any team. Overall, Mayuri Patole is a highly skilled and experienced Senior Software Engineer with a proven track record of delivering successful projects. Her technical expertise, communication skills, and work ethic make her an ideal candidate for any organization looking for a talented software engineer.
Education Overview
• vishwakarma institute of information technology
Companies Overview
• datametica
• epam systems
• persistent systems
Experience Overview
8.3 Years
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