Giuseppe Broccolo
Staff Data Engineer
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolGiuseppe Broccolo is a Staff Data Engineer based in London with 11 years of experience turning scientific rigor into production-grade data platforms. Trained as a physicist with a PhD and early computing work at CERN, he blends deep expertise in C/C++ and Linux with modern big-data and MLOps stacks (Kafka, Druid, Hadoop, Python) to build scalable real-time analytics. He introduced novel geospatial indexing approaches while consulting on PostgreSQL/PostGIS projects and has practical GIS-to-big-data experience from LiDAR and GPS analytics. At Medallia and prior startups he has progressed from senior engineer to technical lead roles, routinely bridging research-grade algorithms and production engineering. Colleagues value his ability to translate complex modelling needs into performant, maintainable pipelines and indexing strategies that handle very large spatial datasets.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Physics, 1st remark, Doctor of Philosophy (Ph.D.), Physics, 1st remark at Università degli Studi di Firenze / University of Florence
English, Italian
Stackoverflow
435reputation
35kreached
3answers
0questions
Github Skills (58)
plpgsql10
python10
data-science10
scikit10
statistics10
machine-learning10
recovery10
scikit-learn10
data-analysis10
geometry9
interoperability9
geometry-library9
geospatial9
geojson9
h39
Programming languages (9)
Github contributions (5)
DecibelInsight/uwsgi-nginx-flask-docker
Jun 2018 - Oct 2019
Docker image with uWSGI and Nginx for Flask applications in Python running in a single container. Optionally with Alpine Linux.
Contributions:1 PR, 7 pushes, 1 branch in 1 year 4 months
nginxdockerfilepythondocker-imageflask
gbroccolo/scikit-learn
Nov 2019 - Jul 2020
scikit-learn: machine learning in Python
Contributions:10 pushes, 1 branch in 8 months
pythondata-sciencelearn-machine-learningneural-networksmachine-learning
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