I'm Matteo Ragazzini.
I'm a Software Development Engineer at Amazon in Munich, working on transportation network optimization and planning systems. I build scalable services and automation to support forecasting and planning across the organization.
Previously I worked as a Business Intelligence Engineer in Luxembourg where I focused on data pipelines and real-time analytics to improve delivery cost and performance.
About me
Energetic and collaborative software engineer experienced in building data pipelines, automation, and full-stack tools. I have lived and worked across Italy, Sweden, Luxembourg and Germany which helps me adapt quickly and work well in diverse teams.
- Location:Munich, DE
- Age:27
- Nationality:Italian
- Interests:Cooking, Sports, Travelling
- Study:University of Bologna
- Employment:Amazon
Education
Master of Engineering in Computer Science and Software Engineering — 110L/110
Master of Science in Computer Science
Bachelor of Engineering in Computer Science and Software Engineering — 108/110
Work
Software Development Engineer
- Developed a Java application to analyze Amazon's Same Day delivery network, identifying opportunities to increase delivery speed and extend service hours. Built interactive dashboards using AWS Quicksight to visualize network performance metrics.
- Led the design and development of an automated modeling framework using AWS CDK, AWS Lambda, Step Functions, DynamoDB, and REST APIs, automating manual modeling processes across multiple teams and reducing analysts' time by ~35%.
- Built a full-stack planning support tool using Python, AWS Step Functions, and React that interacts with external APIs to compare forecasted plans against actual results, enabling VP-level strategic planning.
- Served as the software engineering representative for a 200+ person organization, driving adoption of security best practices, code quality standards, and maintainable architecture.
Business Intelligence Engineer
- Built a SQL data pipeline aggregating 12+ datasets to calculate granular delivery costs across Amazon's logistics network. Processed ~5TB annually and enabled 65+ teams to identify cost-saving opportunities for SVP-level initiatives.
- Developed a real-time analytics pipeline in Amazon Redshift to monitor delivery performance, missed deliveries, and weather conditions at zip code level; dashboards served 85+ users with 3,000+ interactions.
Software Engineer Intern
- Created, tested and deployed Guacamole, a containerized clientless remote desktop gateway to access computer labs remotely; the service is active and used by UNIBO students.
Skills
Here you can show a snapshot of your skills to show off to employers
Get in touch.
Feel Free to drop me an email or contact me through the socials below.
- Location
- Munich, Germany
- @matteoraga
- Github
- MatteoRagazzini