Luigi Cerone is a Data Engineer based in Rome with nine years of experience designing and building scalable ETL pipelines, streaming applications, and big data architectures using Java, Python, Kafka, Spark, Flink and Airflow. He has driven data platform work at consumer and property-tech firms, translating product needs into production-ready architectures while leveraging infrastructure-as-code and containerization tools like Terraform, Ansible, Docker and OpenStack. An open-source contributor to the high-profile Apache Iceberg project, he improved Python expression evaluation, added filtering primitives and PyArrow HDFS support—demonstrating hands-on expertise in data storage and query integration. Luigi combines strong academic credentials (top honors in both bachelor’s and master’s degrees in Computer Science) with a practical background across backend, real-time IoT dashboards and blockchain-related systems, making him adept at bridging research-grade rigor and production constraints. He brings a pragmatic, full-stack data engineering mindset with a track record of shipping resilient, test-covered features in complex distributed environments.
9 years of coding experience
2 years of employment as a software developer
Laurea triennale, Informatica, 110/110 with honors, Laurea triennale, Informatica, 110/110 with honors at Università degli Studi dell'Aquila
Contributions summary:Luigi primarily contributed to the Python codebase of the Apache Iceberg project. Their work involved updating dependencies like mypy, fixing related errors, and removing unused methods. They also implemented new expressions for filtering data, including 'starts_with' and 'not_starts_with', adding corresponding tests and integrating these new features into the existing expression evaluation framework. Furthermore, they added support for PyArrow HDFS, demonstrating expertise in data processing and storage integrations.
Contributions:10 commits, 7 pushes, 1 branch in 1 year 4 months
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