Viskantas Juodenas
About Viskantas Juodenas
Viskantas Juodenas is a Full Stack Software Engineer specializing in Business Intelligence, currently employed at Revel Systems in Vilnius, Lithuania. He has extensive experience in data warehousing solutions and utilizes a tech stack that includes AWS services, SQL, Python, and Terraform.
Work at Revel Systems
Viskantas Juodenas has been employed at Revel Systems since 2021 as a Full Stack Software Engineer specializing in Business Intelligence. In this role, he has developed a new Data Warehousing solution utilizing AWS technologies. His responsibilities include designing and implementing ETL and ELT data integration pipelines. Prior to his current position, he worked as a Full Stack Software Engineer focused on Online Ordering from 2020 to 2021 and as a Junior Full Stack Software Engineer in the same domain from 2019 to 2020. His tenure at Revel Systems spans three years.
Education and Expertise
Viskantas Juodenas completed his secondary education at Vilnius Zirmunai Gymnasium, earning a Maturity Certificate from 2012 to 2016. He then pursued higher education at the University of Reading, where he studied Computer Science with Industrial Year, achieving a Bachelor of Science (BSc) from 2016 to 2020. His expertise includes modeling data warehouse schema and investigating modern best practices for data warehousing architectures and technologies.
Background
Before joining Revel Systems, Viskantas Juodenas gained experience in various roles. He worked as a Junior Full Stack Developer at Exonar from 2017 to 2018 and as a Full Stack Node.js Developer at simbiotecha from 2018 to 2019. Additionally, he served as an IT Engineer at PureIT Moves in Reading, UK, from 2017 to 2018. His early career also included a position as a Test Automation Engineer at Exonar for three months in 2017 and as a Personal Tutor at Tutor Doctor for four months in the same year.
Technical Skills and Technologies
In his current role, Viskantas Juodenas utilizes a diverse tech stack that includes various AWS services, SQL, Python, and Terraform. His focus on data warehousing solutions reflects his proficiency in modern data integration techniques and cloud technologies, which are essential for developing efficient data pipelines.