Semen

Semen Sabov
Ukraine | [открыть контакты](см. выше в блоке «контактная информация») | [открыть контакты](см. выше в блоке «контактная информация») | GitHub

Self-taught Cloud Engineer with hands-on AWS experience building serverless applications, REST APIs, and
automated monitoring systems. Developed production-ready solutions using Lambda, RDS, API Gateway, and
EventBridge. Proficient in Infrastructure as Code using Terraform.

SKILLS

Cloud & Infrastructure

●​ AWS Services: Lambda, EC2, RDS (MySQL), S3, API Gateway, EventBridge, VPC, Security Groups, IAM,
CloudWatch. Infrastructure: VPC design, security group configuration, Serverless architecture.
●​ Programming: Python (Lambda functions, database connections, REST APIs). Bash/Shell (Linux
administration), SQL (MySQL).
●​ DevOps Concepts: Event-driven architecture, Serverless, Automated scheduling and monitoring, RESTful
API design, Infrastructure automation.
●​ Infrastructure as Code: Terraform (AWS provider - EC2, Security Groups, resource deployment
automation)

Languages

●​ English: Upper-intermediate.
●​ Ukrainian: Native.

WORK EXPERIENCE

●​ Social Media Specialist | Nestlé Business Services Lviv 11/2022 - Present
Achievements/Tasks:
●​ Monitoring the company's digital media presence.
●​ Problem-solving and troubleshooting complex issues.

EDUCATION

●​ Bachelor degree in Computer engineering and networks 09/2017 - 06/2021
Uzhgorod National University
●​ Master degree in Computer engineering and 09/2021 - 12/2022
networks Uzhgorod National University

PROJECTS

Serverless REST API | AWS Lambda, API Gateway, RDS, Python

●​ Built 3-endpoint REST API (GET /health, GET /records, POST /records) handling CRUD operations.
●​ Configured VPC networking, security groups, and IAM permissions for secure database access.
●​ Implemented CORS, error handling, and JSON parsing in Python Lambda functions.
●​ Publicly accessible via HTTPS endpoint, demonstrates production-ready serverless architecture.
Automated Database Monitor | AWS Lambda, EventBridge, CloudWatch

●​ Created scheduled Lambda (every 5 min) querying database metrics and logging to CloudWatch.
●​ Demonstrates automated operations, monitoring, and serverless architecture.
●​ Runs autonomously 24/7, showcasing understanding of operational automation.

Event-Driven File Processor | AWS Lambda, S3, Python

●​ S3-triggered Lambda analyzes uploaded files and stores results automatically.
●​ Implemented IAM roles, S3 event notifications, and file processing logic.
●​ Event-driven design eliminates the need for manual intervention.

All infrastructure version-controlled and automated using Terraform and Git.

Portfolio available at: https://github.com/ferrta