About

Vladyslav Shkola is an experienced Solutions Architect with a strong background in Software Engineering. With over 4 years of experience, he is passionate about Go, Distributed Systems, Cloud, Applied Machine Learning, and Stream Processing. Vladyslav holds a Master's degree in Distributed System Engineering, Computer Science from TU Dresden. He is currently working as a Startup Solutions Architect at Amazon, where he is responsible for providing technical solutions to startups. Prior to working at Amazon, Vladyslav has worked as a Software Engineer in Machine Learning at BMW and as a Data Engineer at Lovoo. At Lovoo, he was involved in building high-load microservices using Golang, building Apache Beam/Google Dataflow, Google PubSub pipelines for event processing, migration of data from Hadoop to Google BigQuery, building workflows for various ETL and BI jobs, and deployments, configuration, resources management in Google Cloud Platform, Kubernetes. Vladyslav has a strong educational background, having completed a Master's degree in Information Communications Networks from the National Technical University of Ukraine 'Kyiv Polytechnic Institute' and a Bachelor's degree in Telecommunications from the same university. His technical skills include Senior Software Engineering, AWS, ML, Software Engineering, Data Engineering, Golang, Kubernetes, Hadoop, Microservices, and ETL. Vladyslav has 5.04 years of relevant experience, and he is always interested in exploring new technologies and expanding his knowledge.