Tommaso Bersani
@tommasobersani
Cloud architect and data/software engineer building scalable AWS serverless ETL and AI-ready backends.
What I'm looking for
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
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
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
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).
Tech stack
Software and tools used professionally
Postman
Apache Spark
AWS Glue
AWS Step Functions
GitHub
GitLab
SonarQube
Kubernetes
GitHub Actions
GitLab CI
React Native
Pandas
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Gmail
Django
Spring Boot
Next.js
NestJS
Tailwind CSS
Google Analytics
Figma
Redis
Terraform
Pulumi
Rome
JavaScript
HTML5
Java
PyTorch
Kafka
FastAPI
Grafana
Prometheus
OpenTelemetry
Datadog
GraphQL
Firebase
gRPC
Elasticsearch
OpenSearch
WordPress
AWS Lambda
Serverless
Vercel
Netlify
pytest
Airflow
Hugging Face
Apache Iceberg
PostHog
Supabase
LangChain
Polars
Pinecone
Ray
OpenAI API
Groq
ArgoCD
Terragrunt
Adalo
pgvector
Enhance
X++
Availability
Location
Authorized to work in
Portfolio
twinfiller.comJob categories
Skills
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