Irene De Nevi

Big Data Engineer in the insurance domain, building scalable and high-performance data platforms handling terabyte-scale datasets. I design and optimize robust data pipelines in Python and Scala, orchestrated with Apache Airflow, ensuring reliability, efficiency, and full process observability through advanced monitoring solutions. I drive CI/CD and infrastructure automation using Terraform and Jenkins, enabling faster and more reliable deployments. Working in Agile environments, I leverage Jira for delive

As a Data Science Engineer at TXT Group under the E-Tech Division, I specialize in delivering data-driven solutions and innovations for prominent firms in the aerospace and aviation industry, as well as contributing to cutting-edge projects across the EU. Among my projects, I was involved in developing the backend in AVIO:

Developed an internal automation tool to notify employees involved in ITS Incom activities and training sessions about schedule changes (such as cancellations or postponements) via email. The solution monitored updates in the ITS Incom agenda and the training portal, leveraging Microsoft Azure, Data Factory, Microsoft Graph API, and Excel.

Internship as part of the 'Data Analyst' training project at ITS Incom. Focus Business Intelligence. I worked on the Simulation and Forecasting project for the AACSB accreditation system, AMBA .