I’m a data professional with over eight years of experience building and scaling data products and data ecosystems that actually deliver business impact. My work sits at the intersection of data engineering, cloud architecture, and analytics, combining a deep technical stack (Airflow, Airbyte, DBT, Docker, GCP, Azure) with a strong sense of data quality, performance, and usability. Most recently, I’ve been working as a Data Engineer for Fincons / Generali, where I solved complex backlog issues and end-user requests across multiple enterprise data systems — from SAP BO and BODS to SQL Server, Alteryx, and Power Apps — while developing Power BI dashboards that streamlined business operations. Before that, at Unisystems / ECDC, I developed a full R Shiny dashboard for public health data and built an R-based incremental ETL infrastructure integrating climate data from ECMWF/CDS with epidemiological models — combining scientific data processing with production-grade engineering. At Expecta, where I currently lead data engineering and BI efforts, I’ve designed and developed the full backend of our data platform, including smart ETL pipelines, data quality checks, and automated orchestration using Airflow and Python. I also manage data access policies (GCP IAM, Microsoft Entra) and build embedded analytics solutions using Power BI, Shiny, and Streamlit. Beyond our internal platform, I’ve delivered custom ETL and DWH solutions for clients integrating data from CRMs, ERPs, and SAP systems into unified, analytics-ready environments. Before that, I worked with Goldman Sachs AM (formerly NN Investment Partners) and LiteBit, where I built Azure- and Databricks-based data platforms, developed machine learning models (for churn, CLV, and recommendations), and led BI product development. My work also spanned data governance (Collibra) and regulatory analytics for EU SFDR and ESG frameworks. I thrive on building scalable, automated, and reliable data infrastructure — from ingestion to transformation to visualization — and I enjoy bridging technical data pipelines with real-world insights that drive strategy. Core Tech: GCP, Azure, Airflow, Airbyte, DBT, Docker, Python, SQL, BigQuery, Azure Data Factory, Databricks, Power BI, Streamlit, Alteryx Focus Areas: Business INtelligence, Data Platform Architecture, ETL/ELT Orchestration, Data Engineering, Cloud DataOps, BI Automation, Embedded Analytics Languages: Italian (native), English (professional)…I’m a data professional with over eight years of experience building and scaling data products and data ecosystems that actually deliver business impact. My work sits at the intersection of data engineering, cloud architecture, and analytics, combining a deep technical stack (Airflow, Airbyte, DBT, Docker, GCP, Azure) with a strong sense of data quality, performance, and usability. Most recently, I’ve been working as a Data Engineer for Fincons / Generali, where I solved complex backlog issues and end-user requests across multiple enterprise data systems — from SAP BO and BODS to SQL Server, Alteryx, and Power Apps — while developing Power BI dashboards that streamlined business operations. Before that, at Unisystems / ECDC, I developed a full R Shiny dashboard for public health data and built an R-based incremental ETL infrastructure integrating climate data from ECMWF/CDS with epidemiological models — combining scientific data processing with production-grade engineering. At Expecta, where I currently lead data engineering and BI efforts, I’ve designed and developed the full backend of our data platform, including smart ETL pipelines, data quality checks, and automated orchestration using Airflow and Python. I also manage data access policies (GCP IAM, Microsoft Entra) and build embedded analytics solutions using Power BI, Shiny, and Streamlit. Beyond our internal platform, I’ve delivered custom ETL and DWH solutions for clients integrating data from CRMs, ERPs, and SAP systems into unified, analytics-ready environments. Before that, I worked with Goldman Sachs AM (formerly NN Investment Partners) and LiteBit, where I built Azure- and Databricks-based data platforms, developed machine learning models (for churn, CLV, and recommendations), and led BI product development. My work also spanned data governance (Collibra) and regulatory analytics for EU SFDR and ESG frameworks. I thrive on building scalable, automated, and reliable data infrastructure — from ingestion to transformation to visualization — and I enjoy bridging technical data pipelines with real-world insights that drive strategy. Core Tech: GCP, Azure, Airflow, Airbyte, DBT, Docker, Python, SQL, BigQuery, Azure Data Factory, Databricks, Power BI, Streamlit, Alteryx Focus Areas: Business INtelligence, Data Platform Architecture, ETL/ELT Orchestration, Data Engineering, Cloud DataOps, BI Automation, Embedded Analytics Languages: Italian (native), English (professional)WWWW…