RON KELISHEK
Miami
Summary
Strategic data leader with a strong foundation in Business Intelligence and Data Engineering. Architected Intelligent Systems that integrate structured and unstructured data, enhancing decision-making processes. Achievements include a 12% revenue uplift and saving over 35 hours monthly through optimized data workflows.
Overview
8
8
years of professional experience
Work History
Senior Data Engineer & AI Solutions Architect
AWS (Amazon Web Services)
01.2024 - Current
- Multimodal Agentic Engineering: Developed agents synthesizing "Natural Language to SQL" (NL2SQL) outputs with qualitative internal documentation to automate Decision Packets for executive leadership, improving decision-making efficiency.
- Generative BI & QuickSuite Integration: Leveraged Amazon Q in QuickSight to automate discovery of business drivers within tabular datasets, enhancing "Signal-to-Action" loop and minimizing manual data preparation efforts.
- Scalable Data Architecture: Designing high-performance solutions on the AWS platform, streamlining data consumption and architecting scalable architectures that boosted processing efficiency twofold.
- Unified Intelligent Systems: Architected hybrid RAG environments integrating unstructured data (PDFs, video transcripts, wiki docs) with structured business metrics in Redshift and S3, creating cohesive intelligence layer for enhanced data accessibility.
Business Intelligence Engineer
AWS (Amazon Web Services)
01.2022 - 01.2023
- High-Performance Data Orchestration: Designed and automated data pipelines across 7+ AWS services (Lambda, Glue, EMR), achieving a two-fold increase in processing efficiency and saving 35+ hours of manual analysis monthly.
- Strategic Metric Innovation: Created innovative attribution models (MTA) and metrics to evaluate content effectiveness, leading to a 12% revenue uplift and strategic shifts across global AWS assets.
- Implemented data pipeline mechanisms for WBR, MBR, and QBR, improving reporting capabilities and visibility for cross-functional stakeholders.
Senior Data Analyst
Boss Fight Entertainment | Big Fish Games | Plarium
01.2018 - 01.2022
- Applied A/B testing and behavioral modeling to optimize game economies, achieving 20% increase in player satisfaction and 18% gain in monetization efficiency.
- Collaborated with engineering teams to define telemetry and developed automated dashboards in Tableau and Looker for tracking critical KPIs including DAU, ARPU, and Churn.
- Analyzed player data to enhance game mechanics and user experience.
- Developed dashboards to visualize key performance indicators for team reviews.
- Collaborated with game designers to interpret data trends and insights.
Education
B.A. - Industrial Engineering (Major in Information Systems)
Ariel University
Skills
- Data pipeline design
- Machine learning models
- AWS Glue and EMR
- Redshift Spectrum and Lambda
- S3 and SQS
- SNS and Airflow
- Python and SQL
- NL2SQL and Amazon Q
- QuickSight and Tableau
- Looker and BigQuery
- Data architecture design
- Cloud infrastructure management
- Agentic workflows
- Stakeholder management
- Cross-functional teamwork
Projects
Proactive Intelligence Engine (MVP), Architected an end-to-end MVP that transforms analytics from reactive to proactive. The system uses autonomous agents to scan markets daily, quantify financial risk by comparing real-time tables with internal strategy documents, and deliver "Decision Packets" with specific owners and deadlines., Reduced signal-to-action lag from 5 days to <24 hours., Claude 3.5 Sonnet, Python, AWS EventBridge, Vector Databases
Personal Information
Title: Senior Data Engineer & AI Solutions Architect
Timeline
Senior Data Engineer & AI Solutions Architect
AWS (Amazon Web Services)
01.2024 - Current
Business Intelligence Engineer
AWS (Amazon Web Services)
01.2022 - 01.2023
Senior Data Analyst
Boss Fight Entertainment | Big Fish Games | Plarium
01.2018 - 01.2022
B.A. - Industrial Engineering (Major in Information Systems)
Ariel University