Giovanni Brunetti is a Big Data Engineer with 11 years of experience designing and delivering end-to-end batch and streaming analytics platforms, currently building unified data solutions at Agile Lab. He specializes in scalable ETL and real-time ingestion using Spark, Kafka, Dataflow, Airflow and BigQuery, with strong skills in Java, Python, Scala and SQL. Giovanni has a track record of optimizing job execution and shaping data models and partitioning strategies for high-throughput environments, including migrations from Cloudera to Google Cloud. He pairs hands-on pipeline development with architectural guidance and documentation—having authored best-practice guidelines for telecom and enterprise projects—and is comfortable operating across both cloud-native and on-prem ecosystems. Based in Calabria, Italy, he brings academic depth from a Master’s in Computer Science and a practical focus on turning messy inputs into actionable insights for customers.
10 years of coding experience
3 years of employment as a software developer
Laurea Magistrale LM, Informatica, Laurea Magistrale LM, Informatica at Università della Calabria
Laurea triennale in Informatica, Informatica, Laurea triennale in Informatica, Informatica at Università degli Studi della Calabria
Simple repository in which I keep track of some notes using OBSIDIAN, a powerful and extensible knowledge base tool.
Contributions:2 PRs, 60 pushes, 2 branches in 2 years 5 months
apachedatabasedatabricksfilesystemgcp
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