Léo Biscassi is a Senior Data Engineer based in São Paulo with over 15 years in software development and 11 years focused on data-intensive systems. He has built and operated petabyte-scale data lakes and high-throughput pipelines at Jungle Scout, processing millions of daily events and multi-billion-event backfills using AWS (S3, Lambda, Kinesis, EMR), Apache Spark and Hudi. His background spans cloud platforms—AWS and Azure—data orchestration (Airflow, Step Functions), and engineering reproducible pipelines from bioinformatics to enterprise analytics. Comfortable moving between hands-on ETL code, infrastructure-as-code (CDK), and data modeling, he combines deep operational experience with a master's in computational modeling. Notably, he has applied the same rigorous pipeline practices used in clinical genomics to large-scale product analytics, bridging scientific reproducibility and production resilience.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree Information Systems, Bachelor's degree Information Systems at Faculdade Barretos
Master's degree Computational Modeling, Master's degree Computational Modeling at Universidade Estadual de Santa Cruz
Contributions:8 PRs, 64 pushes, 17 branches in 1 year 9 months
centralizedcomputer-sciencescience
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