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System Analyst
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Derby, UK
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Professional Summary

Candidate is a DevOps Engineer with 5 years of experience specializing in cloud automation, CI/CD pipeline development, and infrastructure optimization across IT consulting, financial services, and telecommunications. Proven expertise in automating deployments, improving system reliability, and ensuring security compliance for high-availability environments. Skilled in infrastructure as code, leveraging Terraform and Kubernetes to enhance scalability and cost efficiency. Experienced in transitioning on-premise architectures to cloud-based solutions, optimizing performance and security in compliance with industry standards. Adept at monitoring system health, implementing logging solutions, and streamlining DevOps workflows to accelerate software delivery

Video of Talent

Portfolio

Education

Tbilisi State University / Bachelor's in Information Technology
2016 - 2020

Certifications and Trainings

Experience

Senior DevOps Engineer
Industry: Financial Services IT Consulting
Mar 2022 - Present

Designing and implementing CI/CD pipelines for fintech applications, reducing deployment times by 50%.
Automating infrastructure provisioning with Terraform, improving scalability and cost efficiency.
Developing secure cloud environments, ensuring compliance with PCI-DSS and GDPR.
Leading the transition from on-premise to AWS, reducing downtime and maintenance costs.

DevOps Engineer
Industry: Healthcare IT
Sept 2020 - Feb 2022

Built automated deployment pipelines for hospital management systems, reducing manual interventions by 70%.
Optimized Kubernetes cluster performance for telehealth applications, ensuring 99.99% uptime.
Implemented monitoring and logging solutions using Prometheus and ELK stack.

DevOps Engineer
Industry: Telecommunications
Jan 2019 - Jun 2020

Managed high-availability networking solutions for VoIP platforms, improving call stability.
Developed containerized environments using Docker and Kubernetes for telecom applications.
Automated infrastructure scaling and cost optimization using AWS Lambda and Spot Instances.