Sohan Malegaonkar

Sohan Malegaonkar

It Software Engineer (Ao) @ UBS

About Sohan Malegaonkar

Sohan Malegaonkar is an IT Software Engineer currently working at UBS in Pune, Maharashtra. He has extensive experience in big data technologies and cloud services, having previously worked at YASH Technologies and iLink Digital.

Current Role at UBS

Sohan Malegaonkar currently serves as an IT Software Engineer (AO) at UBS, a position he has held since 2020. He is based in Pune, Maharashtra, India. In this role, he applies his technical skills and knowledge to contribute to the company's software engineering projects.

Previous Experience at YASH Technologies

Before joining UBS, Sohan Malegaonkar worked at YASH Technologies as a Data Engineer from 2018 to 2020. His tenure lasted for two years in Pune, Maharashtra. He also held a position as a Software Engineer at the same company from 2015 to 2018, accumulating three years of experience in software development.

Experience at iLink Digital

Sohan Malegaonkar briefly worked at iLink Digital as a Senior Big Data Developer for four months in 2020. This role was also based in Pune, Maharashtra, India, where he focused on big data solutions.

Education and Expertise

Sohan Malegaonkar holds a Post Graduation Diploma in Advance Computing from the Centre for Development of Advanced Computing, which he completed from 2014 to 2015. He also earned a Bachelor of Engineering (BE) in Computer Engineering from Pravaranagar Rural Education Society's Pravara Rural Engineering College, Loni Bk., from 2010 to 2014. His educational background supports his expertise in technologies such as the Hadoop ecosystem, AWS services, and Azure platform solutions.

Technical Skills

Sohan Malegaonkar possesses a deep understanding of various components of the Hadoop ecosystem, including HDFS, YARN, MapReduce, and Hive. He utilizes AWS services such as EC2, EMR, S3, Redshift, and Lambda for cloud-based solutions. Additionally, he has experience in architecting solutions on the Azure platform and using Databricks for big data processing.

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