Engineering responsibilities: - performance optimisation- provision product support- code review - code refactoringManaging responsibilities: - participation in the event, escort according to estimates- monitoring and monitoring of time, budget, and scope of tasks‬- conducting customer negotiations‬‭- development of creative ideas in project work- elaboration and study of Technical Tasks received from the Customer‭- preparation of presentations and presentation of works to the client- project scheduling and process optimisation for maximum results - maintenance of project history and description of use case- Project Resource Planning, Project Profitability Miscalculation, Resource Utilization‬ - Setting Targets and Timelines, Performance and Quality ControlAccomplishments:* Improved development workflows by 40% by introducing Scrum.* Coordinated and supervised the execution of tasks on time with the help of time trackers, which reduced the percentage of‬ overdue tasks.* Described and coordinated business processes in the states‬ of AS IS and TO BE, which led to the elimination of unnecessary steps and an‬‭ increase in the speed and quality of providing working business solutions‬.* Conducted one-to-one with stakeholders to collect claims and‬ explain restrictions, which reduced the risk of undeclared moments by 70%.

- improved application response by migrating legacy code to Kotlin- developed admin panel by integrating with Django framework- implemented a document management system using docx4j & XDocReport APIs- increased the structure of the application and administration panel by adding new blocks and transforming the current ones by using Python and Django framework migrations- developed stability and correctness of the application by extending JUnit test coverage- realized the architecture of communication between microservices by implementing RestTemplate, etc.

- improved application stability by converting XML cartridges to JSON- extended application functionality by implementing OpenAPI- improved metrics and end-points response rate by migrating ATG REST to Spring REST- reduced operational data query time by realizing the migration of ATG DMS to Kafka- increased usage efficiency and positive feedback from end-users by modifying and restructuring PDP and PLP, start page, category and facet mechanics, etc.

- studied ATG Framework - improved knowledge of Spring Framework - deepened skills in git & CI/CD work - familiarised with the best UI/UX practices - fully understood Agile- learned using Atlassian Services (Jira | Confluence)