IdanArbel.DataSolutionsEngineer.
Bridging the complex gap between scalable data ecosystems, Generative AI models, and actionable business intelligence.
About Me
I am a Data Solutions Engineer driven by a deep-seated curiosity for the intersection of Big Data, Machine Learning, and Generative AI. My expertise lies in architecting end-to-end data ecosystems—from engineering robust ETL pipelines to deploying sophisticated Anti-Fraud models. With a career built at industry leaders like Check Point and SAS Israel, I specialize in transforming fragmented data into scalable, production-grade solutions.
I don’t just build systems; I bridge the gap between complex technical stacks and strategic business impact. Whether it’s optimizing Revenue Operations or integrating GenAI to solve real-world constraints, I am constantly exploring new frontiers in AI/ML to deliver high-impact, data-driven innovation.
Core Skills
Portfolio
Dash:IQ
AI-powered finance dashboard with LLM-based categorization, insights, and predictive forecasts.
OmniScribe
Speech-to-Text intelligent audio workspace optimized for English and Hebrew audio.
Experience
Data Solutions Engineer
SAS Israel
- ▸Developed 6+ anti-fraud models, cutting false positives by 20%
- ▸Engineered scalable ETL pipelines handling millions of daily records
- ▸Boosted system uptime to 97% through infrastructure optimizations
Revenue Operations Data Analyst
Check Point Software
- ▸Automated reporting pipelines, reducing manual processing time by 50%
- ▸Built dashboards consolidating cross-functional revenue data
- ▸Partnered with sales and finance to align data definitions globally
Education
Generative AI & LLM
Technion – Israel Institute of Technology
- ▸Hands-on OpenAI API, Prompt Engineering, and deployment of custom AI agents
B.Sc. in Industrial Engineering
Shenkar – Engineering Faculty
- ▸Majoring in Information Systems
- ▸Selected for elite internship as Product Manager at AT&T Israel