About

Mandar Pawar is a skilled Senior Software Engineer with a specialization in Data Replication and SaaS. He has over 7 years of relevant experience in the field and has worked on various projects and technologies. Mandar's expertise lies in query optimization for high throughput Relational DBMS product Adaptive Server Enterprise by SYBASE. Mandar holds a Master of Technology (M.Tech.) degree from the Indian Institute of Technology, Bombay, where he focused on Big Data Optimizations, Algorithms, Artificial Intelligence, Cloud Computing, and Virtualization. His M.Tech. thesis involved Cost-Based Query Optimization for Big Data Analytics on Apache Spark, where he designed and implemented a generic cost-based optimization framework for big data platforms. He also integrated the framework for state-of-the-art big data engine Apache Spark and verified the improvement in execution using TPC-H benchmark. Mandar has worked on various projects, including Operating Directly on Text Files Using PostgreSql, Part of Speech Tagger using ML techniques, Memory Buddies: Memory Affinity in KVM Virtual Machines, Distributed Key-Value store using GoLang, Disk statistics monitoring tool, and Execution Strategy for SQL Subqueries on Hyracks Platform. He has also worked with companies like SAP and HSBC, where he was responsible for software development and design/develop cost-based optimization techniques for extremely high throughput OLTP engine used for relational data storage and access. Mandar is proficient in various technologies like Software Engineering, Big Data, Spark, SQL, ML, Integration, Golang, and C. He is a quick learner and always up for challenges. Mandar is a team player, and his excellent communication skills make him a valuable asset to any team.