Linas Medžiūnas
About Linas Medžiūnas
Linas Medžiūnas is a Member of Technical Staff at Chronosphere, with a background in software development and engineering. He has extensive experience in time series databases and has worked at several companies, including TripCreator, Wix.com, and Saikas.
Work at Chronosphere
Linas Medžiūnas has been a Member of Technical Staff at Chronosphere since 2020. His role involves designing and prototyping the implementation of time series query sharding across multiple instances of a query engine. He oversees the deployment of this system into production, ensuring its effectiveness and reliability. His contributions are integral to the company's focus on optimizing time series databases.
Previous Experience at Wix.com
Prior to his current position, Linas worked at Wix.com as a Software Developer from 2016 to 2020. During his tenure, he implemented various stability and efficiency improvements to time series databases, including the open-source M3 and Prometheus platforms. His work contributed to enhancing the performance and reliability of these systems.
Career at TripCreator and Saikas
Linas Medžiūnas served as a Software Developer at TripCreator from 2014 to 2016, following a 14-year tenure at Saikas, where he held various positions from 1996 to 2010. His extensive experience in software development spans multiple roles and responsibilities, showcasing his adaptability and technical skills in different environments.
Education and Expertise
Linas studied Computer Science at Vilniaus universitetas / Vilnius University, where he earned a Master's degree from 1996 to 2002. His educational background provides a strong foundation for his technical expertise in software development and engineering, particularly in time series databases and system optimization.
Key Projects and Contributions
Throughout his career, Linas has led significant projects, including the implementation of low overhead time series downsampling, which is now deployed for all production customers. He has also designed operational processes for resizing clusters of stateful components without downtime, demonstrating his capability in managing complex systems and enhancing operational efficiency.