Fernando De Nitto 👋

Global Data Engineer | Data Management Team @ Prada Group

📍 Milano, Italy (from Puglia 🌊)

Fernando De Nitto

About

I currently work as a Data Platform Engineer and Delivery Lead at Prada Group, where I implement and manage end-to-end Data Platform projects, including Machine Learning (ML) apps, Data Science (DS) applications, and Business Reporting via PowerBI.

I have an insatiable curiosity. Currently, I am actively studying AI applications and exploring the blockchain ecosystem, specifically looking for real-world use cases.

Tech Stack: Python, Scala, SQL, Spark, Kafka, Delta Lake, DBT, Dagster, Airflow, AWS, Databricks, Azure, Kubernetes, and Observability tools.

Outside of work, I enjoy reading books 📚, watching TV series 📺, and running 🏃‍♂️.

Experience

Prada Group

Oct 2025 - Present

Global Data Engineer | Data Management Team

Data Platform Engineer and Delivery Lead. Implementing and managing Data Platform projects such as ML and DS applications or PowerBI business reporting.

Data Reply IT

Apr 2025 - Oct 2025

Senior Cloud Observability Engineer

Led the design and development of the Application Deployment Performance Monitor (ADPM) within AVTK. Engineered real-time monitoring and anomaly detection using OpenTelemetry, Prometheus, Grafana, Jaeger, ELK, and ClickHouse.

Data Reply IT

Jan 2025 - Oct 2025

Data Platform Engineer

Architected and developed a cloud-agnostic Data Governance suite using DataHub and dbt, integrated into AWS and GCP infrastructures. Built ETL pipelines and enabled real-time analytics on metadata.

Data Reply IT

Dec 2022 - Oct 2025

Big Data Engineer | Financial Services

Led the design and development of comprehensive data platforms within AWS for the financial sector. Developed ingestion pipelines, Delta Lakes, dbt business models, and QuickSight analytics.

Education

Università di Pisa

Oct 2018 – Sep 2022

Master Degree, Computer Engineering (110/110)

Focused on advanced topics including computer architecture, process-driven information systems, intelligent systems, data mining, cybersecurity, and concurrent/distributed systems.

Chongqing University

Feb 2019 – Sep 2019

Visiting Student (Scholarship), Logistics Engineering (99/100)

International study program covering warehousing management, international logistics, logistic information systems, and supply chain strategies.

Università di Pisa

2011 – 2017

Bachelor's Degree, Computer Engineering (105/110)

Final Thesis on Neural Networks with Stigmergic Activation Function within the Department of Computer Engineering.

Recent Articles

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