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Tommaso BersaniTB
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Tommaso Bersani

@tommasobersani

Cloud architect and data/software engineer building scalable AWS serverless ETL and AI-ready backends.

Italy
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What I'm looking for

I’m looking for an AWS-first team where I can architect serverless data platforms and microservices, optimize cost and observability, and apply Generative AI to production workflows—ideally with agile delivery and strong engineering standards.

I’m a Cloud Architect and data/software engineer specializing in AWS serverless architectures and Infrastructure as Code with Terraform. I bring a strong foundation from a Master’s in Computer Engineering (110/110 cum laude) and 5+ years of hands-on delivery across cloud, data engineering, and backend systems.

At Storm Reply, I architected and deployed high-scale ETL/ELT data pipelines for a major Italian public entity using AWS Glue (PySpark) and Redshift within a medallion lake architecture. I streamlined workflow orchestration with AWS Step Functions, integrating dbt and Apache Airflow, and enabled streaming ingestion through Kinesis.

I also build production-grade serverless backends and microservices with FastAPI, NestJS, and AWS Lambda—decoupled via SQS/SNS and DynamoDB. With Terraform and Terragrunt, I automate environments and manage ECS/Fargate deployments through robust GitHub Actions CI/CD pipelines, while optimizing security and observability with CloudWatch and KMS to reduce operational expenditure by 60%.

Previously, at PwC I supported digital transformation roadmaps and cloud governance using AWS Well-Architected standards and FinOps. Earlier roles include Full Stack development at NS12 and end-to-end freelance delivery (Next.js/Tailwind, Supabase/Firebase, Stripe integrations), including an OpenAI API-powered chatbot that reduced manual support load.

Experience

Work history, roles, and key accomplishments

FR

Freelance Web Developer

Freelance

Apr 2021 - Dec 2023 (2 years 8 months)

Delivered end-to-end web projects for startups and local businesses, migrating legacy WordPress sites to Next.js with Tailwind CSS and improving Core Web Vitals. Integrated Stripe checkout and webhooks, implemented authentication and data layers with Supabase/Firebase, deployed on Vercel/Netlify, and built an OpenAI-powered customer support chatbot.

Education

Degrees, certifications, and relevant coursework

Sapienza Università di Roma logoSR

Sapienza Università di Roma

Bachelor’s Degree, Computer Engineering

2022 - 2024

Grade: 110/110

Bachelor’s degree in Computer Engineering at Sapienza Università di Roma, completed with grade 110/110.

Sapienza Università di Roma logoSR

Sapienza Università di Roma

Master’s Degree, Computer Engineering

2018 - 2022

Grade: 110/110 cum laude

Master’s degree in Computer Engineering at Sapienza Università di Roma, completed with grade 110/110 and honors (cum laude).

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