- Файл
Oleksandr
Java developer
- Вік:
- 39 років
- Місто:
- Житомир
Контактна інформація
Шукач вказав телефон , ел. пошту та адресу.
Прізвище, контакти та світлина доступні тільки для зареєстрованих роботодавців. Щоб отримати доступ до особистих даних кандидатів, увійдіть як роботодавець або зареєструйтеся.
Отримати контакти цього кандидата можна на сторінці https://www.work.ua/resumes/10057548/
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JAVA DEVELOPER
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CONTACTS PROFILE
I am a motivated Java developer with experience in creating Java-based web
[
design principles. My background includes working under tight deadlines, and
Ed
Oleksandr_Savenets
enhancing my planning and time management skills which are essential for
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I am a strong communicator and team player, thriving in collaborative settings and
Oleksandr_Savenets
eager to learn from others. I am adaptable, open to feedback, and always looking
Oleksandr_Savenets to improve my skills. I aim to join a team of like-minded professionals, contribute
my expertise, and grow through real-world projects. I am confident that my
Zhytomyr, Ukraine \ remote
technical and interpersonal skills make me a valuable addition to any development
F
team.
SKILLS WORK EXPERIENCE
PD
Java Core, Collections, Multithreading
SQL
DB: JDBC, Hibernate, RDBMS Pet Helsi
(PostgreSQL, H2, MySQL, Oracle), Pet Helsi is a web application for pet owners, built with Spring Boot on the backend
MongoDB, Redis and Next.js on the frontend. The platform allows users to manage pet profiles,
Spring (Core, Web, Security, Boot, schedule veterinary appointments, track vaccination history, and communicate with
Cloud, Cache) vets via chat for consultations.
Tools & Libraries: Maven, Gradle
Book management (microservices)
te r
Docker, Swagger, MapStruct, IntelliJ
IDEA, GIT, Terminal Application based on Spring Boot, which allows you to manage a catalog of books
Operating systems: Ubuntu, Windows and handle user orders(backend). Angular was used to write the frontend part.
HTML, CSS, Angular
Image store
English - Intermediate
Using AWS Rekognition, uploaded images are analyzed to detect objects, extract
as
features, and generate labels (e.g. water, car etc.). These labels are indexed and
EDUCATION can be used to implement search by image or search by label functionality.
Technologies used: Spring (Boot, Data, Security, Cloud (Config, Gateway, Eureka)),
Zhytomyr State Technological
Liquibase, Flyway, Swagger, Docker, Stripe API, Telegram API,
University
MySQL, AWS(S3, Recognition)
Specialist in Computerized systems,
nM
automation and control
Private entrepreneur
Mate academy Automation engineer
Java developer
Applied a variety of innovative approaches to tackle common challenges in
automation, utilizing a blend of technical expertise and creative problem-
solving skills.
Conducted thorough analysis of equipment performance data, identifying areas
di
for improvement and implementing solutions to reduce downtime and increase
overall equipment effectiveness.
Played a key role in troubleshooting and resolving complex technical issues,
ensuring seamless production flow and minimizing disruptions.
Collaborated with maintenance teams to establish preventive maintenance
schedules and procedures, extending the lifespan of critical production
a te
equipment and reducing maintenance costs.
Participated in continuous improvement initiatives, contributing insights and
recommendations to optimize production processes and enhance overall
quality control.
re
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