Summary
Marco Trombino is a Big Data Engineer based in Palermo with nine years of experience designing and migrating large-scale data pipelines and information retrieval systems. He specializes in Spark-based ETL on Databricks, Azure Synapse migrations from Teradata, Azure Data Factory orchestration, and modern data lake patterns including Apache Iceberg. Marco blends practical engineering—performance tuning, automated testing, and data quality—with a research-minded background in NLP and unsupervised classification from his R&D work and master's in Statistics and Data Science. Known for building data products and serving consumable data across platforms, he focuses on robustness and operational analytics for clients across insurance, finance and utilities. Curious and creative by nature, he often explores internals of distributed systems and table formats to squeeze out efficiency gains that aren’t obvious from high-level designs.
9 years of coding experience
3 years of employment as a software developer
Diploma Informatica, Diploma Informatica at ITIS A.Volta
Laurea Magistrale LM Statistica e Data Science, Laurea Magistrale LM Statistica e Data Science at Università degli Studi di Palermo
Italian, English