Dominik Zygarski

DevOps Engineer

I'm passionate about solving complex problems using cloud technologies and automation.
I focus on AWS, Infrastructure as Code, and CI/CD, with a strong ambition to grow into
Cloud Data Engineering and DevOps roles. Currently, I'm expanding my skill set in Big Data by building hands-on projects that address real-world data challenges in the cloud.

LOCATION

Poland

STATUS

Available for work

Portfolio

Kubernetes For Modern Data Engineering

Deploying Apache Airflow on Kubernetes with Helm to orchestrate data workflows using custom DAGs.

KubernetesDockerApache AirflowPython

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AWS Image Scaler

A serverless image resizing app using AWS S3 and Lambda. Built with Docker to support custom image processing. Fully automated with S3 event triggers.

AWSLambdaS3Docker

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Scalable AWS Architecture

Deployed an auto-scaled EC2 setup behind an Application Load Balancer using CloudFormation. Scaling based on CloudWatch metrics.

AWSEC2CloudFormationCloudWatch

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About Me

With a long-standing passion for IT and cloud technologies, I completed the Cloud Engineer Academy led by Soleyman Shahir, where I gained hands-on experience in automation, infrastructure as code, and containerization. During the program, I worked on hands-on projects that reflected real-world infrastructure scenarios and allowed me to apply cloud engineering concepts in practice.

Comfortable in Linux environments, I use it regularly while learning and working on personal projects. My skill set continues to grow, especially in AWS, Docker, Terraform, Kubernetes, GitHub Actions and AI. I am fascinated by Big Data processing and data cluster engineering. In the future, I aim to specialize in managing scalable and efficient DevOps environments that support data systems.

Outside of tech, I enjoy sports, reading, and cinema. In my free time, I train my dog and attend dog sport classes together. It’s a great way to stay active, unwind, and connect beyond the digital world.