Explore how I use AWS, Terraform, and automation to create scalable solutions
—
with insights drawn from real-world logistics and SAP experience.
Cloud & DevOps Portfolio – ADAM WRONA
About Me
Hi! I'm Adam, a passionate Junior Cloud & DevOps Engineer focused on AWS, Infrastructure as Code, and
automation.
I hold the AWS Certified Solutions Architect – Associate and AWS Cloud Practitioner
certifications.
I'm currently preparing for the Terraform Associate exam to deepen my skills in IaC and cloud
automation.
I build hands-on projects using AWS (Lambda, IAM, S3, EC2), Terraform, Docker, and CI/CD pipelines
(GitHub Actions).
I’m also expanding my SAP skills, drawing from 8 years of real-world experience with SAP MM/WM in
industrial logistics.
I'm eager to grow through real-world challenges and contribute to modern, cloud-native teams.
With a background in logistics and production (17+ years), I bring strong problem-solving,
process automation, and attention to detail skills.
I also have 8 years of daily hands-on experience with SAP MM/WM, working with inventory
movements,
batch handling, and warehouse operations.
My goal is to create scalable, resilient, and efficient cloud environments.
I'm actively seeking my first opportunity as a Cloud Engineer or DevOps Engineer,
where I can contribute, learn, and continuously improve.
👉 Check out my projects on
About this Project
This website is my first project and part of my personal portfolio showcasing my skills in cloud
development.
The project is built using AWS services, including EC2 for hosting, S3 for static storage, and Route 53
for
DNS management. It is designed to be simple, responsive, and demonstrate best practices in cloud
infrastructure.
AWS EC2 – Hosting the backend application
AWS S3 – Storing and serving static assets for the frontend
AWS CloudFront – Content Delivery Network (CDN) for fast, global
access
AWS Route 53 – Domain registration and DNS management
AWS RDS (MySQL) – Managed relational database service
AWS ACM – SSL certificate for secure HTTPS connections
AWS CloudWatch – Monitoring and logging for system performance
AWS KMS – Encryption for data at rest
AWS SNS – Notifications for form submissions and system alerts
GitHub – Version control and project collaboration
AWS Security Alerting Pipeline
This project showcases a simple yet effective AWS-based alerting pipeline that detects IAM and
GuardDuty
events and sends real-time notifications via email.
AWS Lambda – Formats the alert and publishes it to an SNS topic
AWS EventBridge – Filters for specific actions (e.g.,
`CreateUser`)
AWS SNS – Sends an email notification to the configured address
AWS CloudTrail – Records all actions in the account
AWS GuardDuty – Detects suspicious activity and security threats
This project is a simple sentiment analysis API built with FastAPI and scikit-learn, capable of
classifying input text as positive or negative. It is deployed on AWS EC2 and fully automated using
Terraform and Ansible. Still in works...
FastAPI – a modern, high-performance Python framework for
building RESTful APIs with automatic OpenAPI docs.
scikit-learn + joblib – used to train and save a sentiment
analysis model for reuse without retraining.
Terraform – Infrastructure as Code (IaC) tool to provision AWS
resources like EC2 and security groups.
Ansible – automation tool used to configure the EC2 instance
(e.g., install packages, run the API server).
Docker – used to containerize the FastAPI application (optional,
planned).
Uvicorn – an ASGI server that runs the FastAPI app and handles
HTTP requests
A fully automated, event-driven serverless task manager leveraging AWS services and CI/CD.
This project showcases automation, Infrastructure as Code, and event-based cloud architectures.
AWS Lambda – Handles all backend logic without servers
AWS API Gateway – Exposes REST API for frontend interactions
AWS DynamoDB – NoSQL database for storing task data
This project fetches and processes weather data daily, storing results in DynamoDB for quick access.
Data
updates every day at 18:00 CST (China Standard Time) / 11:00 AM CET (Central European Time).
This conceptual SAP eWM project simulates key warehouse processes (inbound, outbound, internal
transfers)
based on 8 years of real-world SAP MM/WM experience in industrial logistics.
The goal is to demonstrate practical knowledge of warehouse operations and SAP terminology.
SAP MM/WM – Core inventory management, movement types (309, 311,
313, 315)
SAP eWM Concepts – Putaway, picking, staging, HU, WO/WT
Markdown – Detailed documentation of processes
Mermaid.js – Warehouse layout diagram
GitHub – Version control, open source presentation