Data Engineer with 5+ years shipping production ETL pipelines, cloud data platforms, and BI solutions across defense, semiconductor, healthcare, and telecom. Background in Corporate Finance — I build pipelines that serve business decisions, not just data.
I build ETL and ELT pipelines on PySpark and Databricks, designed around lakehouse patterns with Type-1 SCD merge logic and incremental delta processing. My cloud stack spans BigQuery, Azure Data Factory, and Terraform — I provision and orchestrate production workloads that move terabytes daily, with Kafka handling the streaming layer when real-time ingestion is the requirement.
On the analytics side, I build dashboards in Power BI using advanced DAX measures and in Apache Superset for open-source reporting. Every visualization is tied to commercial KPIs or operational metrics that someone actually needs to act on. I care about the data model underneath as much as the chart on top — schema validation, consistent grain, and clean joins are what make a dashboard trustworthy.
Orchestration is Airflow and Cloud Composer. I write DAGs that handle dependency chains, retry logic, and cross-system coordination without fragile cron jobs. The code lives in Git, gets tested before it ships, and runs inside Docker containers so the pipeline behaves the same in staging as it does in production.
I also work at the intersection of data engineering and AI-assisted development. I use GitHub Copilot, OpenCode, and the pi coding agent daily — not as shortcuts, but as tools that let me move faster on boilerplate so I can spend more time on the architecture that matters.
Leonardo S.p.A. · Cyber Security Division · Data Engineer · Oct 2025 – Present
Leading the ERP-to-Cloud migration for a national strategic infrastructure client. Designed, architected, and deployed the entire infrastructure for a public healthcare BI project on the client's proprietary Linux VMs — from provisioning to go-live. Built Power BI dashboards with advanced DAX measures for executive reporting. BigQuery lakehouse, Airflow orchestration. Designed a generative BI concept shortlisted for the Innovation Award 2026.
STMicroelectronics · Data Engineer · Aug 2022 – Oct 2025
Built semiconductor telemetry pipelines on PySpark and Databricks, processing high-volume manufacturing data with lakehouse architecture and SCD merge logic for yield analysis. Shipped a containerized Python backend and delivered Power BI solutions adopted across multiple engineering teams.
BIP · Data Engineer · Jul 2022 – Aug 2022
Short engagement delivering data migration and cloud architecture design. Executed an on-premises-to-cloud migration using Azure Data Factory and Databricks.
IBM · Client Innovation Center Milan · Data Engineer · Jul 2021 – Jul 2022
Developed ETL workflows spanning DataStage, Databricks, and Azure Data Factory. Designed cognitive cloud platforms on Azure covering Data Lake, DWH, and data consumption layers.
Adora ICT · Data Engineer · Jan 2020 – Jul 2021
First production role — built data pipelines and Power BI dashboards for telecom and healthcare clients. Ran exploratory data analysis and modeled sales data for user clustering initiatives.
M.Sc. Corporate Finance · University of Catania
B.Sc. Business Administration · University of Catania
DP-600 · Microsoft Fabric Analytics Engineer Associate
AZ-900 · Microsoft Azure Fundamentals
Python 3 · Specialization
DS&ML · Data Science & Machine Learning
Databricks · Data Engineer Associate (in progress)
Italian · Native
English · B2+
Spanish · A2
