Vladislav Kirnosov
About Vladislav Kirnosov
Vladislav Kirnosov is a Team Lead and Big Data Senior Developer at VTB, with extensive experience in data conversion, Linux system administration, and automation of business processes. He holds a Bachelor's degree in Computer Science and a PhD in Computer Systems Networking and Telecommunications, and has worked in various roles within the IT sector since 2016.
Work at VTB
Currently, Vladislav Kirnosov serves as Team Lead and Big Data Senior Developer at VTB, a position he has held since 2019. In this role, he focuses on leading projects related to big data technologies and managing a team of developers. His responsibilities include overseeing the development and implementation of data solutions that enhance the bank's operational efficiency and data analysis capabilities.
Education and Expertise
Vladislav Kirnosov holds a Bachelor's degree in Computer Science from Омский Государственный Технический Университет (ОмГТУ), where he studied from 2012 to 2016. He also earned a Master's degree in Computer Systems Networking and Telecommunications from Высшая Школа Экономики, completing his studies from 2016 to 2018. Furthering his education, he obtained a PhD in the same field from the Higher School of Economics between 2018 and 2020. His academic background provides a strong foundation for his expertise in data conversion, system analysis, and network security.
Background
Before joining VTB, Vladislav Kirnosov worked at ABINVEST as an IT Specialist for four months in 2016. He then transitioned to 1С-Рарус, where he worked as a Developer from 2017 to 2018. His experience includes automating business processes and preparing technical documentation, as well as configuring network equipment and ensuring information security at Abinvest.
Technical Skills and Tools
Vladislav Kirnosov possesses extensive technical skills, particularly in Linux system administration and Kubernetes/Openshift environments. He has experience with a variety of tools and technologies, including Airflow, Kafka, Docker, and Jupyterhub. His work involves developing an execution platform for models within the Hadoop ecosystem and improving collaboration across IT teams through DevOps practices.