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Schedule Interview NowMy name is Andrii B. and I have over 4 years years of experience in the tech industry. I specialize in the following technologies: Amazon Web Services, node.js, Software Architecture, Cloud Computing, TypeScript, etc.. I hold a degree in Bachelor of Engineering (BEng). Some of the notable projects I’ve worked on include: AWS Cost Reduction, Deployment Automation: CI/CD for Docker/Kubernetes on AWS, Real-time Data Processing for IoT, Cost & Scalability Optimization: Migrating Monolith to AWS Serverless, Unit test example, etc.. I am based in Kryvyy Rih, Ukraine. I've successfully completed 17 projects while developing at Softaims.
I value a collaborative environment where shared knowledge leads to superior outcomes. I actively mentor junior team members, conduct thorough quality reviews, and champion engineering best practices across the team. I believe that the quality of the final product is a direct reflection of the team's cohesion and skill.
My experience at Softaims has refined my ability to effectively communicate complex technical concepts to non-technical stakeholders, ensuring project alignment from the outset. I am a strong believer in transparent processes and iterative delivery.
My main objective is to foster a culture of quality and accountability. I am motivated to contribute my expertise to projects that require not just technical skill, but also strong organizational and leadership abilities to succeed.
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Problem: Uncontrolled growth in AWS bills. Unclear where money was being spent, with many unused resources. Solution: Conducted a deep audit of AWS spending. Identified unused resources, optimized EC2/RDS instance sizes, implemented Reserved Instances and Savings Plans. Automated S3 lifecycle rules. All changes defined via Terraform.
Problem: Manual, frequently breaking deployments that took hours. Developers spent too much time on releases instead of coding. High percentage of production errors. Solution: Designed and implemented fully automated CI/CD pipelines (GitHub Actions + AWS EKS/ECR) for microservices on Docker/Kubernetes. Integrated automated testing, security scanning, and monitoring.
Problem: Client needed to collect and process massive volumes of real-time data from IoT devices. Existing solutions couldn't handle the scale and required significant investment. Solution: Designed and built a new Serverless platform on AWS: API Gateway for incoming data, AWS Lambda (Node.js) for initial processing, Kinesis/SQS for buffering, and S3/DynamoDB for storage.
Problem: Existing monolithic Node.js backend suffered from high operational costs, poor scalability under peak loads, and slow feature release cycles due to manual deployments. Solution: Redesigned and rewrote key services to AWS Lambda (Node.js) with API Gateway for APIs and DynamoDB for data. Fully automated Serverless deployment via CI/CD pipelines.
Here’s an example of a unit test for a Node.js backend project built with NestJS, showcasing best practices in testing scalable APIs and services using TypeScript, Jest, and modern Node.js development standards.
Bachelor of Engineering (BEng) in Electromechanics
2014-01-01-2018-01-01