Summary
Roberto Aureli is a Senior Data Engineer with 10 years of experience specializing in building optimized, automated ETL pipelines and cloud-native data platforms for financial services. He blends a strong Machine Learning and AI academic background with hands-on expertise in AWS, Azure Databricks, Snowflake, Apache Spark and Kafka to deliver scalable ingestion, telemetry and analytics solutions. Roberto has led architecture and technical teams to design Kubernetes-based microservices, GitOps-driven CI/CD, and proprietary data lakes that integrate OpenTelemetry for observability across autonomous networks. He is experienced in Data Vault modeling, dbt-driven transformation and migrating complex on-prem systems to serverless cloud environments. Known for extreme adaptability across open-source stacks and deployment environments, he pairs pragmatic engineering with a focus on automation and performance. Based in Lazio, Italy, he brings both hands-on implementation skills and technical leadership that bridge data engineering and AI-driven insights.
10 years of coding experience
4 years of employment as a software developer
Diploma scuola superiore, Informatica, Diploma scuola superiore, Informatica at Istituto Tecnico Industriale Statale Alessandro Volta
Master's degree, Artificial Intelligence and Robotics, Master's degree, Artificial Intelligence and Robotics at Sapienza Università di Roma
Italian, English