Daniel Ferrari
Engineering Manager - Data Engineering And ML Ops
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDaniel Ferrari is an engineering manager focused on Data Engineering and MLOps with over a decade of experience building scalable data platforms, training pipelines and production ML systems across companies like Moonpig, Wolters Kluwer, FARFETCH and Talkdesk. He blends deep academic roots (a PhD in meta-learning and a background in research and teaching) with hands-on expertise in Python, Airflow, Spark, MLflow, SageMaker, FastAPI and both SQL/NoSQL data stores. Daniel prioritises data quality, monitoring and cost-aware scalability to enable robust A/B testing and continuous retraining, while also driving DataOps best practices across organisations. He is an experienced people leader and mentor who designs processes that improve code and data hygiene, trains internal and external teams, and translates user feedback into measurable KPIs and dashboards. As co-author of a Portuguese book on Data Mining, he brings a rare combination of scholarly depth and pragmatic product-focused engineering.
11 years of coding experience
15 years of employment as a software developer
Master's Degree Fuzzy Systems, Master's Degree Fuzzy Systems at Universidade Federal de GoiásGraduation Computation, Graduation Computation at Universidade Estadual de MaringáMackenzie Presbyterian University
Portuguese, English
Stackoverflow
1reputation
0reached
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Github Skills (25)
diagram10
architectures10
graphviz10
architecture9
bitbar9
prototyping9
python8
celery8
aws8
text-analysis8
aws-s38
preprocessing7
fastapi7
text-processing6
data-science6
Programming languages (4)
Github contributions (5)
FerrariDG/euromillions
Apr 2020 - Jun 2022
App to generate games for Euromillions
Contributions:2 PRs, 15 pushes, 2 branches in 2 years 2 months
euromillionsgamegames
dlite-tools/aws-s3-tools
Feb 2021 - Nov 2022
AWS S3 tools to make your code easier
Contributions:13 releases, 18 reviews, 31 commits in 1 year 9 months
aws-s3awspython
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