I lead a data engineering team through the shift to AI. Most days that means taking something apart to work out how it should go back together.
About
Curious first. The job title came later.
It started with a hand-me-down IBM ThinkPad I wouldn't leave alone. That turned into mechanical engineering, a detour through sales, a business degree, and finally data — where all of it clicked at once. Today I lead a data engineering team across two countries and a few time zones, which mostly means helping good people get better at something none of us has done before.
Projects
Things I couldn't leave alone.
Wiring AI into the day-to-day: from writing dbt models to reviewing PRs to debugging pipelines. The goal was never to replace the engineer's judgement — it's to clear away everything around it that doesn't need one.
Automated ETL that uses AI to process both structured and unstructured sources at scale, turning messy inputs into clean, queryable data.
An end-to-end observability solution that surfaces where Snowflake spend goes, down to the query and user level, so engineers can stay fast without burning credits on waste. My first pass cut the bill by 40%.
Multi-cluster Airflow setup with dbt transformations and compliance requirements handled at the infrastructure level, not bolted on after.
Multi-environment CI/CD pipelines with robust testing and automation, backed by Terraform-managed infrastructure for zero configuration drift.
Standardised data modelling, testing, and governance across every project: the unglamorous foundation that makes data reliable enough to actually trust.
Seminars & Talks
Sharing what I've learned.
How AI is reshaping the data engineer's role: from building pipelines to architecting intelligent systems that accelerate development, automate governance, and make infrastructure smarter.
Read the postA guest seminar for the Advanced Data Science course, bridging academic concepts and production reality with Meltano, Airflow, and Kubernetes.
Read the postAn interview (in Italian) on data engineering practices and what it actually takes to build a data-driven culture inside a company.
Listen on SpotifyStack
The tools I reach for.
Off the clock
Curiosity doesn't clock off.
Weekends go to side projects I have no intention of finishing, books I probably won't shut up about, and long walks around Friuli with Pluto — a German Shorthaired Pointer with firm opinions about the route. I ran my first half marathon recently, mostly to find out whether I could.