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.
- Now
- Leading a data engineering team through the shift to AI
- Team
- Based in India, led remotely from Italy
- Believe
- Data should be democratic. Silos are the enemy.
- Path
- Mechanical engineering → sales → MSc, Business Administration → data
Stack
The tools I reach for.
- AI Agents
- Airflow
- Azure
- Claude Code
- Datadog
- dbt
- Docker
- GCP
- GitHub Actions
- Grafana
- Kubernetes
- MCP
- Meltano
- PostgreSQL
- Python
- Snowflake
- SQL
- Superset
- Terraform
Projects
Things I couldn't leave alone.
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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.
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Automated ETL that uses AI to process both structured and unstructured sources at scale, turning messy inputs into clean, queryable data.
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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%.
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Multi-cluster Airflow setup with dbt transformations and compliance requirements handled at the infrastructure level, not bolted on after.
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Multi-environment CI/CD pipelines with robust testing and automation, backed by Terraform-managed infrastructure for zero configuration drift.
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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.
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Guest seminar at the University of Udine on 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. LinkedIn post
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Guest seminar at the University of Udine for the Advanced Data Science course, bridging academic concepts and production reality with Meltano, Airflow, and Kubernetes. LinkedIn post
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Podcast interview on Huroes Talk (in Italian) about data engineering practices and how to build a data-driven culture inside a company. Listen on Spotify
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.