Paolo Angioletti
Data Science Principal Architect
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolPaolo Angioletti is a Data Science Principal Architect based in London with 12+ years building large-scale, cloud-native Big Data and streaming systems using Scala, Spark, Kafka and Kubernetes. He blends hands-on engineering—from low-level C/Linux and real-time systems to modern Spark-on-Kubernetes data science engines—with leadership roles at banks and enterprise vendors (Barclays, HSBC, TIBCO, Morgan Stanley). Paolo is pragmatic about operational resilience and automation, having designed CI/CD, containerization and deployment pipelines across AWS, GCP and Azure while shepherding platform extensions and data ingestion at scale. He favors functional, Scala-first designs and has repeatedly modernized legacy platforms with streaming and cloud technologies. Notably, his career spans both financial markets risk engines and production data science platforms, giving him rare domain fluency across analytics, devops and distributed systems.
11 years of coding experience
15 years of employment as a software developer
Master degree, in Computer Science, Electronics and TeleCommunications, 108/110 (2:1), Master degree, in Computer Science, Electronics and TeleCommunications, 108/110 (2:1) at Università degli Studi di Napoli Federico II
Spanish, English, Italian
Github Skills (82)
web-application10
wamp10
sbt-plugin10
sbt10
reactive9
gremlin9
solr9
akka9
akka-streams9
high-performance9
mysql-client9
messaging9
hbase9
websocket9
zinc9
Programming languages (9)
Github contributions (5)
pangiole/dockerized-cloudera
Jul 2019 - Oct 2019
Contributions:26 commits, 14 pushes, 1 branch in 2 months
bitspoke/www
Jun 2014 - Jan 2015
Contributions:52 commits, 3 pushes in 7 months
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