Mayank Vadariya
Software Engineer at Starburst
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolMayank Vadariya is a software engineer with six years of experience building backend and data engineering solutions, currently contributing to Starburst in Old Toronto. He has enterprise experience across Morgan Stanley, Informatica, and TCS, and holds a Master's in Applied Computer Science from Concordia University. Mayank is an active back-end contributor to the high-profile Trino project, improving connectors for MongoDB, Cassandra, and ClickHouse and adding tests and performance fixes that impact large-scale SQL-on-big-data deployments. He combines practical connector-level expertise with enterprise-grade development practices, making him effective at bridging data systems and production services. Colleagues value his knack for spotting subtle integration bugs and cleaning up test frameworks to improve reliability.
6 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering (BE), Electronics &Tele-communication, Bachelor of Engineering (BE), Electronics &Tele-communication at Birla Vishwakarma MahavidhyalayaMaster's of Applied Computer Science, Master's of Applied Computer Science at Concordia University
English
Github Skills (14)
javas10
mongodb10
cassandra10
java10
mongodb-database10
clickhouse10
database9
testing9
data-engineering9
query-engine9
databases9
sql8
big-data8
distributed-database8
Programming languages (7)
Github contributions (5)
trinodb/trino
Jan 2023 - Mar 2025
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:329 reviews, 59 PRs, 428 comments in 2 years 2 months
Contributions summary:Mayank primarily contributed to the Trino project by implementing and modifying features related to data source connectors, particularly for MongoDB, Cassandra, and ClickHouse. They fixed bugs and enhanced functionality, such as filtering system schemas, and improved integration with various databases. Further, they added test cases to ensure the accuracy and reliability of the connectors. They also worked on performance improvements and code cleanup within testing frameworks.
prestodbdbmsindexingjdbcbigdata
mayankvadariya/trino
Jan 2023 - Apr 2025
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Contributions:423 pushes, 58 branches in 2 years 2 months
bigdatabig-datatrinodatabasehadoop
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.