Robert Zacchigna
Software Engineer at State Farm
New Lenox, Illinois, United States
Summary
👤
Senior🎓
Top SchoolRobert Zacchigna is a software and data engineer with eight years of experience building cloud-native, high-performance data architectures for the financial services sector. He combines a Master's in Data Science with hands-on expertise in AWS, Kubernetes, Spark, Snowflake and Airflow to design scalable ETL pipelines, event-driven microservices, and cost-efficient orchestration systems. At Capital One and Discover he modernized legacy workflows into containerized, distributed solutions that improved throughput and reduced operational costs while maintaining strict compliance. Now at State Farm, he continues to blend ML curiosity with engineering rigor, favoring reusable Python libraries and automated CI/CD to accelerate delivery. Colleagues rely on him for pragmatic architecture decisions that bridge data science models and production-grade systems.
8 years of coding experience
8 years of employment as a software developer
Masters of Science Data Science, Masters of Science Data Science at Bellevue UniversityBachelors in Information Technology Systems Analyst/Development, Bachelors in Information Technology Systems Analyst/Development at Illinois State University
Github Skills (43)
stock10
api-client10
interactive-brokers10
trading9
python9
historical9
api9
prediction8
maintenance8
prediction-model8
raspberry-pi6
jupyter-notebook6
dedicated-server6
master-detail6
python-client6
Programming languages (6)
Github contributions (5)
Robert-Zacchigna/Portfolio
Aug 2021 - Dec 2021
A collection of data science projects ranging from data analysis and exploration to machine learning and prediction models using Jupyter Notebooks.
Contributions:55 commits, 2 PRs, 155 pushes in 3 months
data-analysispythonsciencepredictiondata-science
Robert-Zacchigna/robert-zacchigna.github.io
Dec 2021 - Mar 2025
Personal site of data science related projects ranging from data analysis and exploration to machine learning and prediction models (mostly using Jupyter Notebook).
Contributions:1 PR, 53 pushes in 3 years 3 months
data-analysispythonsciencepredictiondata-science
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