Mikhail Tretiakov
About Mikhail Tretiakov
Mikhail Tretiakov is a Senior Software Engineer with extensive experience in PostgreSQL and data science, currently working at Workato in Armenia. He has held various technical roles in Russia, including Technical Project Lead at Центр недвижимости от Сбербанка and has a master's degree in aerospace technology from the Russian State Technological University.
Work at Workato
Mikhail Tretiakov has been employed at Workato as a Senior Software Engineer since 2022. His role involves utilizing his expertise in software engineering to contribute to the company's projects. He has been with Workato for two years and works from Armenia.
Previous Experience in Software Engineering
Prior to joining Workato, Mikhail held several positions in software engineering. He served as a Technical Project Lead at Центр недвижимости от Сбербанка from 2018 to 2022, where he managed technical projects for four years in Moscow, Russia. He also worked as a Server Side Programmer at Орфограф from 2014 to 2015 and as a Programmer at UCHi.RU from 2015 to 2016. Additionally, he was a Senior Engineer of Web Development at RAMBLER&Co from 2016 to 2017.
Education and Expertise
Mikhail studied at the Russian State Technological University named after K.E. Tsiolkovsky (MATI), where he focused on aviation and space technology. He earned a master's degree between 2004 and 2011. His technical expertise includes extensive knowledge of PostgreSQL, Python, and Pandas for data science and analytics projects, as well as experience with Elasticsearch for custom analytics.
Technical Skills
Mikhail possesses strong skills in PostgreSQL, having worked with the database management system since the beginning of his career. He has a basic understanding of Docker containerization, including docker-compose and debugging. His programming experience includes Ruby and Ruby on Rails, which he utilized during his tenure at various organizations.
Analytics and Data Science Experience
Mikhail has significant experience in creating custom analytics and complex aggregations using Elasticsearch. He utilizes Python and Pandas extensively for data science and analytics projects, demonstrating his ability to handle data-driven tasks effectively.