Vadim Ovcearenco
DevOps AWS Certified Specialist, AWS, GCO, Azure
Contact Information:
- Email: [email protected]
- Phone: +30 6942564900
- Location: Athens, Greece
- LinkedIn: https://www.linkedin.com/in/vadim-ovcearenco-9754ab4/
DevOps AWS Certified Specialist with over 6 years of experience, excelling in multi-cloud environments including AWS, GCP, and Azure. Adept at crafting efficient, scalable, and secure cloud solutions. Proven track record in implementing CI/CD pipelines, automating infrastructure, and optimizing cloud performance. Passionate about cloud architecture, with a strong commitment to continuous improvement and innovation in DevOps practices. Excellent communicator and team player with a keen problem-solving mindset and a dedication to delivering high-quality solutions.
- Cloud Platforms: AWS (DevOps, Data Engineer), GCP, Azure
- Programming Languages: Python, Bash
- CI/CD Pipelines: AWS CodePipeline, GitHub, GitLab
- Infrastructure as Code: AWS CloudFormation, Terraform
- Containerization and Orchestration: AWS ECS, Docker, Kubernetes
- Monitoring and Logging: AWS CloudWatch, Grafana, AWS QuickSight, DataDog
- Databases: PostgreSQL, MySQL, MongoDB, AWS DynamoDB, AWS Redshift, GCP BigQuery, MS SQL, Redis, etc.
- AWS Certified DevOps Engineer – Professional
- AWS Certified Data Engineer – Associate
- Kiwi.com * Aug 2022 - Jan 2024
- Brno, South Moravia, Czechia · Remote
I had the pleasure of working in the FinTech department, where we utilized GCP to host our applications. During this time, I gained hands-on experience with GitLab CI/CD, GCP Kubernetes, BigQuery, Datadog, and Terraform. My programming toolkit included Python and Bash, allowing me to efficiently manage and automate various tasks.
- Reduced deployment times by 30% through automation.
- Improved system reliability by implementing comprehensive monitoring solutions.
- DBX Commodities (branch of Signal Maritime) * Jun 2021 - Aug 2023
- Athens, Greece
During my tenure at DBX Commodities, I had the opportunity to work with the Azure platform. We utilized MS SQL Server and Azure Bulk Storage extensively. My primary responsibility was to organize the data processing pipeline and deploy solutions on the Azure platform. Additionally, we used Grafana for monitoring our systems.
- Optimized data processing workflows, increasing efficiency by 25%.
- Successfully deployed secure, scalable solutions on Azure.
- Tomorrow * Sep 2020 - May 2021
- Athens, Greece
I was involved in developing a research tool for the Toyota R&D team, which required seamless integration with the HERE MAP API and deployment on the AWS platform. The project placed special emphasis on security, ensuring robust protection throughout the development process.
- Developed and deployed a secure research tool for Toyota R&D.
- Ensured robust protection throughout the development process.
- Kiwi.com * Dec 2018 - Jan 2020
- Brno, South Moravia, Czechia · Remote
During my time at Kiwi, I was involved in developing and deploying an application to optimize payment routes. We initially used the AWS platform, but later transitioned to GCP. This shift allowed me to gain valuable experience with Kubernetes, Docker, and GitLab CI/CD.
- Successfully transitioned applications from AWS to GCP.
- Optimized payment routes application, improving revenue by 20%.
- Toptal * Sep 2016 - Now
- Remote
During my tenure at Toptal as a seasoned DevOps/Software Engineer, I had the opportunity to work on a diverse array of projects requiring a wide range of tools. My primary focus was on the AWS platform, utilizing EC2, RDS, DocumentDB, DynamoDB, and AWS ECS. The projects varied from small-scale setups, where I only needed to install EC2 instances, to large-scale implementations requiring the setup of AWS VPC. Regardless of the project size, each one demanded a strong focus on security.
- Implemented secure, scalable AWS solutions for various clients.
- Successfully managed projects of varying sizes, ensuring security and efficiency.
Technical University of Moldova
1993-1998, Radio Electronic Engineer
Graduated work: Visual Pattern Recognition Research
- English (Fluent)
- Greek (Fluent)
- Russian (Fluent)
- Arduino, Raspberry Pi, Linux, Biology, History, AI, Water sports.