Tommaso Peresson is a Data Platform Engineer with eight years of experience building and operating PB-scale data infrastructure across hybrid on-prem and cloud environments. He has driven technical leadership at Bumble, designing in-house data platform tools (DDL/schema generators, SDKs, registries, orchestrators) and migrating a 200+ node Hadoop cluster to a lakehouse using Iceberg, Kafka, Flink and GCP. Comfortable across Java, Python, TypeScript and PHP, he optimises distributed pipelines and streaming systems (Kafka, Spark, Flink, Pinot, Clickhouse) and deploys k8s-based production services like Airflow and Pinot. He mentors engineers, translates technical nuance for leadership, and has led data-warehouse redesigns and anonymization layers in Snowflake and dbt. Now at Depop, he continues to combine hands-on implementation with platform strategy and on-call reliability. Off the keyboard he’s an avid cyclist, skier and tennis player—reflecting a pragmatic, curiosity-driven approach to problem solving.
8 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science Engineering, Master of Science - MS, Computer Science Engineering at Politecnico di Milano
Maturità Scientifica, Maturità Scientifica at Liceo Statale Niccolò Copernico
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