Umedzhon Izbasarov - Senior Full-Stack Engineer

Building Enterprise Systems That Drive Real Business Impact

Senior Full-Stack Engineer specializing in scalable analytics platforms, automated data pipelines, and mission-critical applications for healthcare and government sectors.

Enterprise analytics dashboards & SQL optimizationAutomated data integrations & ETL pipelinesClean architecture for high-volume systems

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Dushanbe, Tajikistan • Remote-friendly

Open to discussing senior engineering roles, consulting, and system design challenges.

Also available:Frontend/Full-Stack

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About Projects Experience Contact

What I'm Hired For

Taking ambiguous requirements and delivering production-ready systems that handle high-volume operations

Building analytics platforms and dashboards that enable data-driven decision-making at executive levels

Designing and automating data pipelines that eliminate manual processes and improve reliability

Optimizing system performance and maintainability to reduce operational overhead

How I Build

Tradeoffs over trends

Choose proven solutions (PostgreSQL with RLS, server actions) that fit the problem rather than following new frameworks.

Security and data integrity by default

Implement RLS policies, rate limiting, and multi-layer validation from day one, not as add-ons.

Reliability through instrumentation

Build analytics and monitoring into the foundation to catch issues early and fail gracefully.

Clear boundaries and minimal coupling

Server actions, TypeScript contracts, and modular components create systems that are easier to maintain.

Ship iteratively with discipline

Small, high-leverage changes (rate limiting, RLS) compound into reliable systems faster than large rewrites.

Professional References

Feedback from engineers and leaders I've worked with on production systems.

Feras Allaou

Full Stack Engineer

finbyte

Ulugbek Irmatov

CTO

Betastack.ai

Key Highlights

Selected achievements and contributions across enterprise systems, healthcare technology, and government platforms.

Architected and delivered Incident Management System with multi-level analytics dashboards, reducing reporting time significantly and supporting high-volume operations

Designed and automated data exchange pipelines between healthcare systems and government portals, improving data quality and reliability while eliminating manual processes

Optimized complex SQL queries using CTEs, window functions, and strategic indexing, improving query performance and enabling real-time analytics across large datasets

Led full-stack development of microservices-integrated web applications using React, TypeScript, and low-code platforms, delivering scalable solutions for enterprise clients

Built and maintained production ETL pipelines with data validation, supporting automated reporting and analytics for executive decision-making

Areas of Expertise

Full-Stack Development

Building end-to-end web applications with React, TypeScript, and modern backend technologies.

Enterprise Systems

Designing scalable, mission-critical systems for healthcare and government sectors.

Data & Analytics

Optimizing SQL queries, building ETL pipelines, and creating analytics dashboards.

Worked With

HealthcareGovernmentEnterprise PlatformsAnalytics & Automation

Let's Work Together

Ready to build something great? Get in touch to discuss your project.

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About

I'm drawn to complex problems that require both systems thinking and careful execution. There's satisfaction in taking a messy, ambiguous requirement and turning it into something clear, reliable, and maintainable. I'm comfortable owning systems end-to-end, which means I think about architecture, data integrity, performance, and long-term maintainability from the start. I work best when I can collaborate closely with stakeholders to understand real constraints and business needs. My approach is disciplined but not rigid—I prefer proven solutions that fit the problem, and I value clarity and reliability over novelty. What motivates me is building systems that genuinely help people do their work better, with less friction and more confidence.

I specialize in building enterprise-grade systems that solve real business problems. With experience in healthcare technology, government platforms, and analytics, I bring a data-driven approach to software development.

Education

Computer Engineering

Kastamonu University

2013 - 2018

Excelled in Machine Learning, Artificial Neural Networks, and Image Processing.
Developed a Turkish web platform as a senior project to enhance algorithmic understanding and problem-solving skills.

Technical Skills

Core Languages & Runtime

TypeScriptJavaScriptPythonSQLNode.js

Frontend Systems

ReactNext.jsReact NativeTailwindCSS

Backend & Data

PostgreSQLREST APIsETLLaravel

Architecture & Infrastructure

MicroservicesGitCI/CD

Languages

Englishprofessional

Russianprofessional

Turkishnative

Uzbeknative

Tajiknative

Persiannative

GitHub

Production-grade Next.js + TypeScript projects
Enterprise SQL-heavy systems and analytics
Automation scripts and ETL pipelines (Python)
React components and reusable libraries
Full-stack applications with PostgreSQL

View GitHub

References

Feras Allaou

Full Stack Engineer

finbyte

Ulugbek Irmatov

CTO

Betastack.ai

Projects & Case Studies

Selected projects showcasing technical expertise, problem-solving approach, and measurable business impact.

Incident Management System

Multi-dashboard analytics platform enabling real-time KPIs, automated reporting, and data-driven decision-making for healthcare operations.

Context

Healthcare / Government

Scope

Enterprise Analytics Platform

Ownership

End-to-End Ownership

Case Study

Context

Healthcare organization needed centralized incident tracking and reporting across multiple regions and programs, with real-time visibility for stakeholders at different organizational levels.

Responsibility

Owned end-to-end architecture, developed React dashboards, optimized SQL queries, and built ETL pipelines for the entire system.

Complexity

Balancing performance with complex multi-level aggregations across large healthcare datasets while ensuring data quality in automated pipelines.

Outcome

Reduced reporting time, enabled real-time decision-making, and supported high-volume operations with improved data quality.

Private / NDA

Problem

Healthcare organization needed a centralized system to track, analyze, and report on incidents across multiple regions and programs, with real-time visibility for stakeholders at different organizational levels.

Approach

Architected a scalable analytics platform with hierarchical dashboard views, optimized SQL queries for performance, and automated ETL pipelines. Implemented role-based access control and real-time data aggregation using window functions and CTEs.

Results

Delivered multi-level analytics system reducing reporting time significantly, enabling real-time decision-making, and supporting high-volume operations. Improved data quality and reliability through automated validation pipelines.

Role & Responsibilities

Lead Full-Stack Engineer - Architected system design, developed React dashboards, optimized SQL queries, built ETL pipelines, and delivered end-to-end solution

Featured Tech

ReactTypeScriptPostgreSQLSQLPythonETL

Full Tech Stack

ExcelREST APIs

Interview Talking Points (5) • Challenges (2) • Decisions (3)

Talking Points

Led end-to-end architecture of a multi-dashboard analytics system serving enterprise, regional, and program-level stakeholders with real-time KPIs
Optimized complex SQL queries using CTEs and window functions, reducing query execution time and enabling real-time analytics on large datasets
Designed and implemented automated ETL pipelines with Excel-based validation, eliminating manual data processing and improving data quality
Built scalable React dashboards with role-based access control, enabling stakeholders at different organizational levels to access relevant insights
Delivered production system supporting high-volume operations with measurable impact on reporting efficiency and decision-making speed

Challenges

Balancing performance requirements with complex multi-level aggregations across large healthcare datasets
Ensuring data quality and reliability in automated pipelines while maintaining flexibility for changing business requirements

Key Decisions

Chose PostgreSQL with strategic indexing and CTEs over NoSQL for complex relational queries and analytics requirements
Implemented hierarchical dashboard architecture to serve different stakeholder needs while maintaining a single source of truth
Built Excel-based ETL validation layer to leverage existing business user expertise while automating manual processes

Sakina TJ

Full-stack e-commerce platform with custom product logic, integrated payments, and comprehensive admin dashboard for inventory and order management.

Context

E-commerce

Scope

Full-Stack Platform

Ownership

System Architecture & Delivery

Case Study

Context

E-commerce business required a custom platform with specialized product logic, integrated payment processing, and comprehensive admin tools for inventory and order management.

Responsibility

Designed system architecture, developed React frontend and Node.js backend, integrated payment processing, and delivered the complete solution.

Complexity

Designing a flexible product catalog system to accommodate custom business rules while maintaining performance and ensuring secure payment processing with PCI compliance.

Outcome

Delivered production-ready platform with custom business logic, secure payment processing, and efficient admin workflows that improved operational efficiency through automated inventory management.

Private / NDA

Problem

E-commerce business required a custom platform with specialized product logic, integrated payment processing, and comprehensive admin tools for managing inventory and orders.

Approach

Designed and developed full-stack application with React frontend, Node.js backend, and PostgreSQL database. Implemented custom product logic, integrated Stripe for payments, and built admin dashboard with real-time inventory tracking.

Results

Delivered production-ready e-commerce platform with custom business logic, secure payment processing, and efficient admin workflows. Improved operational efficiency through automated inventory management and order processing.

Role & Responsibilities

Full-Stack Engineer - Designed system architecture, developed React frontend and Node.js backend, integrated payment processing, and delivered complete solution

Featured Tech

ReactTypeScriptNode.jsPostgreSQLStripeREST APIs

Interview Talking Points (5) • Challenges (2) • Decisions (3)

Talking Points

Architected and developed full-stack e-commerce platform with custom product logic and integrated payment processing
Built comprehensive admin dashboard with real-time inventory tracking, order management, and analytics capabilities
Implemented secure payment integration with Stripe, ensuring PCI compliance and reliable transaction processing
Designed scalable database schema and RESTful APIs to support custom business requirements and future growth
Delivered production-ready platform with custom business logic that improved operational efficiency significantly

Challenges

Designing flexible product catalog system to accommodate custom business rules while maintaining performance
Ensuring secure payment processing and PCI compliance while providing seamless user experience

Key Decisions

Chose React + TypeScript for type-safe frontend development and maintainable component architecture
Implemented PostgreSQL for relational data integrity and complex query requirements
Integrated Stripe for payment processing to leverage proven security and compliance standards

Want to see more?

I'd love to discuss my work, share more case studies, or explore how I can help with your next project.

Contact Me

Get In Touch

I build enterprise-grade systems that solve real business problems. Expertise in React, TypeScript, SQL analytics, and automation. Available for remote EU/Central Asia/Dubai timezone roles in healthcare, government, and enterprise sectors.

Preferred Contact Methods

umedzhonizbasarov@gmail.com

www.linkedin.com/in/umedzhon-izbasarov/

Phone

+992 93 633 7785

I work with teams building analytics platforms, data-heavy systems, and production applications. If you're untangling complex requirements or need help with scalable architecture, let's talk.

Please contact me directly via email or LinkedIn. Links are available above.

I typically respond within 24 hours. No spam, no pressure—just straightforward conversations about real engineering challenges.