Hey there, I'm
I design and build BI systems that enable organizations to make faster and more reliable decisions. With 5+ years in business intelligence & data engineering, I've delivered scalable BI solutions, optimized ETL/ELT pipelines, and built 100+ analytical dashboards & data workflows across banking and enterprise. My work has reduced pipeline runtimes by up to 80%, transforming reporting cycles from hours to near real-time. I specialize in SQL, Python, dbt, and cloud-native architectures on GCP & Azure. Currently completing my MSc in Data Science. Open to Remote, Freelance contracts 👨🏻💻, and Relocation 🌎.
Airflow
dbt
Google Cloud
BigQuery
Power BI
Tableau
Python
Docker
Kubernetes
SQL Server
Snowflake
PostgreSQL
Git
Azure
Data-driven profitability optimization for an Italian logistics company using Decision Trees, revenue segmentation, and geographic insights.
Production-grade analytics stack: staging → dimensions → facts. SCD Type 2, incremental models, and proper surrogate key management.
Led migration from PostgreSQL DWH + Oracle to Google BigQuery with Google's professional services.
Rebuilt legacy ETL pipeline reducing runtime by 80%. Cut Power BI file size 79%. Reduced dashboard refresh from 2+ hours to under 5 minutes.
My work is driven not only by data, but by perspective. I love exploring new cultures, meeting new people, and discovering new places. Tech meetups, mountains, coastlines, and good coffee — these are the moments that shape me beyond the code.
Open to Remote, Freelance projects and Relocation opportunities.