Position: Junior DevOps
Category: DevOps
Experience: 1.5 years | English: fluent

Technical Skills:
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- Golang, Python, Bash, MySQL, MongoDB 
- AWS(EKS, ECS, EC2, ALB, RDS, DynamoDB, Elasticache, AWS VPC, Aurora, S3, SNS, SQS, Lambda, 
Cloudfront, Elastic Beanstalk, S3, API Gateway), Terraform, Terragrunt, Cloudformation, Ansible
- Jenkins, Github Actions,TeamCity, Docker, Docker Compose, Kubernetes, Helm, Helmfile, ArgoCD
- NGINX, Kafka, Grafana, Prometheus, EFK, DataDog, PagerDuty, Git

Certifications:
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~ Kubernetes: Certified Kubernetes Application Developer (CKAD), Certified Kubernetes Administrator (CKA)
~ AWS:  AWS Certified Solutions Architect – Associate, AWS Certified SysOps Administrator – Associate, AWS Certified Developer – Associate
~ Other: Microservices Architecture (robotdreams), Certified DevOps for system administrators (Web-Academy Ukraine), Cybersecurity Basics (robotdreams) 


Communication Skills:
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English language - Advanced (C1/C2)
Ukranian language - Native Speaker
Hi, I am Junior DevOps Engineer well-versed in delivering comprehensive AWS Cloud solutions, I hold esteemed certifications, including AWS Certified Developer Associate, AWS Certified SysOps Associate, and AWS Certified Solutions Architect Associate. My expertise encompasses a wide spectrum, ranging from proficient Kubernetes practice – underscored by both CKAD and CKA certifications – to adept utilization of diverse Infrastructure as Code (IaC) technologies, including Terraform, Ansible, and Cloudformation.

My programming acumen shines prominently, with substantial experience in crafting robust solutions using Golang and Python. Moreover, my mastery extends to the strategic implementation of pivotal tools - My prowess includes the construction of resilient CI/CD pipelines via Jenkins, alongside the skillful orchestration of multifaceted microservices deployments through the versatile capabilities of HELM.


Trainee DevOps Engineer (at Infuse Media)
 (March 2022 - August 2022 )
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Revamped monitoring practices by implementing Prometheus and Grafana for Kubernetes clusters, achieving a 50% reduction in incident response times and enabling real-time performance insights. Additionally, orchestrated a comprehensive monitoring system utilizing DataDog and AWS CloudWatch for the entire AWS Cloud infrastructure, resulting in a 40% decrease in mean time to resolution (MTTR) for critical incidents and ensuring optimal performance and cost-efficiency across various services.


DevOps Engineer (at AUTOMAT-IT)
 (August 2022 - Present )
============================================
Utilized Kubernetes for orchestrating a microservices architecture and integrated Helm for streamlined deployments. This approach yielded a 60% improvement in application scalability, a 75% reduction in update-related downtime, and a 50% increase in deployment frequency. The seamless scaling, Helm's templating, and efficient rollouts significantly bolstered system reliability and deployment efficiency.
 Implemented CI/CD pipeline for a complex application, resulting in a 70% reduction in deployment time and a 200% increase in deployment frequency. This allowed the team to deliver features faster and respond swiftly to customer feedback.