Data operations
Reliable pipelines, modeled data, metric definitions, quality controls, and a practical single source of truth.
- Data modeling and architecture
- ETL and ELT pipelines
- Metric governance
- Operational reporting foundations
Data and AI consultant
Data operations.
Analytics pro.
AI native.
I turn complex operations into reliable data foundations, useful analytics, and production-ready business systems - from the first business question to the working solution.
Trusted data foundations
Decision-ready analytics
AI-native product delivery
Senior stakeholder partnership
01 / Expertise
One partner from strategy to execution.
I work across business, data, and software - not in the gaps between them.
Analytics that drives action
Clear decision systems for product, finance, commercial, service, and executive teams.
- KPI frameworks and self-service BI
- Conversational analytics and LLM integration
- Forecasting and scenario models
- Executive dashboards and insights
AI-native development
AI is part of the delivery model: used to accelerate analysis, automate workflows, and build complete business products.
- AI-assisted product development
- Workflow and process automation
- Governed ontologies and business context
- Human-controlled, testable systems
02 / Selected work
Business OS · Product case study
A complete operating system for service businesses.
Business OS demonstrates the wider scope: translating a business model into a secure, multi-tenant product that joins daily operations, finance, customer workflows, and analytics in one system.
Business scope
Clients, scheduling, services, packages, products, payments, expenses, financial documents, goals, and operational insights.
Tech stack
Next.js, TypeScript, React, PostgreSQL, Supabase, authentication, row-level security, APIs, integrations, and automated testing.
Delivery scope
Product definition, data architecture, UX, implementation, bilingual experiences, deployment, and continuous refinement.
03 / How I work
Business-first. AI-enabled. Ready to scale.
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01
Frame the real decision
Clarify the operating challenge, stakeholders, current friction, and what better looks like.
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02
Build the right foundation
Connect the source data, define the model, and design a solution people can trust and use.
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03
Ship, measure, improve
Deliver working value early, validate it with users, and strengthen the system through real use.
04 / Experience
Depth across industries, teams, and business models.
From hands-on analysis to team leadership, enterprise BI programs, and full product delivery.
Senior BI Developer and Data Analyst
INSIGHTEC · Health technology
Owned analytics across product, finance, service, commercial, and clinical domains, including data pipelines, modeled layers, and self-service reporting.
Group Manager and SaaS Leader
Qlik Israel · Enterprise consulting
Led BI delivery across various industries, defined modeling standards, guided SaaS migrations, and managed multiple client programs and developers.
Business Analyst and BI Developer
IDI Ventures · Online business
Owned product and commercial analytics across funnels, retention, segmentation, marketing performance, customer value, and large-scale SQL models.
SQLSnowflakeBigQueryPostgreSQLLookerPower BIQlikNext.jsTypeScriptReactPythonSupabaseVercelClaudeCursorAntigravityChatGPT
05 / Start a conversation
Have a data challenge - or a business system that should exist?
Let’s turn it into a clear plan and a working solution.