Senior / Lead QA Engineer | Performance, Data & Cybersecurity

(Data / Backend / API / Performance / Automation)

I am a Senior / Lead QA Engineer with 13+ years of hands-on experience in software quality assurance, performance engineering, test automation, Data/BI testing, and cybersecurity. I have worked across the full software development lifecycle as a QA Engineer, Senior QA Engineer, Performance QA Engineer, Automation QA Engineer, QA Coach, and QA Owner while remaining deeply involved in hands-on testing and product development.

I have extensive experience in software testing, performance engineering, and data-driven quality assurance. Over the course of my career, I have contributed to 19 medium- to large-scale international projects for clients in the USA, Canada, Europe, and Australia. These projects included web, cloud, mobile, desktop, embedded, and cross-platform solutions, such as enterprise BI, ERP, CRM, and DMS systems; fintech and tax platforms; e-commerce and logistics solutions; hosting and cloud services; airline mobile applications; gaming platforms; retail point-of-sale (POS) systems; healthcare and medical data platforms; cybersecurity products; as well as internal corporate systems integrated with complex third-party services and standalone products.

Data & BI QA Expertise

I have extensive hands-on experience in Data QA and BI testing across multiple enterprise and data-driven projects, starting from the early stages of my QA career. I have tested complete data flows from source systems and APIs through operational databases, ETL processes, Data Lakes and Data Warehouses to BI reports, dashboards, and data visualizations.

Tested MS SQL Server, Oracle, PostgreSQL, MongoDB, and other database-driven systems;
Validated stored procedures, ETL processes, data import, synchronization, transformation, processing, aggregation, and migration;
Tested Data Warehouse and Data Lake solutions, including Star Schema structures and complex data pipelines;
Worked with Azure data technologies including ADLS, Azure Blob Storage, Azure Data Factory, Synapse Analytics, and Databricks;
Validated data consistency and integrity across source systems, APIs, integrations, databases, ETL layers, and reporting systems;
Tested and developed BI reports, dashboards, insights, and data visualizations using Power BI and FusionCharts;
Performed Data and BI testing across CRM, e-commerce, tax, logistics, and enterprise analytics platforms;

Performance QA Expertise

I am a strong Performance Test Engineer with extensive hands-on experience in designing and executing performance and load testing across multiple system layers, including HTTP/HTTPS, REST and SOAP APIs, JDBC/database interactions, microservice-to-microservice communication, and backend integration layers.

My work focuses on validating system throughput, response times, concurrency limits, resource utilization, and identifying bottlenecks to ensure the reliability, scalability, and stability of complex enterprise, data-driven, cybersecurity, and integration-heavy solutions under real-world and peak-load conditions.

Recognized by EPAM for excellence in performance and load testing of DMS integration solutions;
Hands-on experience with JMeter, Postman, and other performance and API testing tools;

Automation & QA Expertise

I have hands-on experience in developing, extending, and maintaining test automation for UI, integration, and regression testing across enterprise, web, and data-driven applications. My automation background includes Selenium WebDriver with Java/JUnit, Protractor with JavaScript, and integration testing.

Moderate to advanced automation skills with the ability to implement, extend, and maintain automation scripts;
Developed automated tests for UI and integration scenarios, improving test coverage and release reliability;
Maintained automation frameworks and developed Selenium WebDriver tests using Java/JUnit and Protractor JavaScript;
Graduated from SoftServe IT Academy with a specialization in Automation of Testing Processes and Quality Assurance of Modern Software Systems;

Latest Role

Labyrinth Security Solutions

Lead QA Engineer | January 2026 – Present

The Labyrinth Deception Platform is an advanced cybersecurity solution that uses realistic decoy environments to detect, analyze, and stop attackers before they cause business damage. It protects enterprises, government organizations, critical infrastructure, and MSSPs across distributed and multi-tenant environments.

As Lead QA Engineer and QA Owner, I drive overall product quality, define the testing strategy, strengthen QA processes, manage quality risks, and coordinate release readiness across development and product teams.

During this period, LABYRINTH achieved major international recognition:

Best Cybersecurity Innovation Europe — Cybersec Europe 2026
Rising Star of the Year — InfoSec SEE 2026

These awards strengthened LABYRINTH’s position among Europe’s most innovative cybersecurity companies.

Key Achievements:

Became the QA Owner responsible for the overall quality of the Labyrinth Deception Platform
Built and established the product’s complete QA approach, processes, strategy, and documentation
Took full ownership of functional, API, integration, performance, automation, regression, and release testing
Became the key quality expert connecting product, development, and business decisions throughout the entire release lifecycle
Ensured the successful delivery of several major releases by managing quality risks from development through production

Previous Key Role

QA Coach / BI & Data QA Engineer @ Deloitte — Intela

Worked as a QA Coach / BI & Data QA Engineer in the Data Analytics team on Deloitte Intela, a large enterprise tax and data platform consisting of approximately 15 Scrum teams. I worked as the standalone QA within my Data Analytics pod, responsible for end-to-end QA activities from requirements and PBI analysis through development, testing, defect management, release validation, and production support.

I was deeply involved in the development and validation of complex data architecture, data processing flows, databases, backend services, and BI solutions. The platform processed large volumes of data through multiple database layers, including Bronze, Silver, and Gold layers, where data was collected, transformed, processed, aggregated, and prepared for analytics and Power BI reporting.

Key Responsibilities:

Worked on the development and testing of Normal, Resync, Reconciliation, and Orphaned data flows, validating data processing, synchronization, transformation, aggregation, and recovery scenarios;
Tested and validated database development, including new tables and fields, data transformations, migrations, stored data, backend logic, and movement of data across Bronze, Silver, and Gold layers;
Tested complex ETL and data pipelines across operational databases, Azure Data Lake, Azure Blob Storage, Databricks, Data Warehouse, and downstream reporting systems;
Validated complete source-to-target data flows, ensuring data consistency and integrity across source systems, APIs, microservices, databases, transformation layers, and BI reporting;
Worked closely with the Data Analytics team on Power BI tax dashboards, reports, visualizations, and business insights, validating calculations, aggregations, filters, reporting logic, and data accuracy;
Participated throughout the full development lifecycle, analyzing PBIs and requirements, developing test coverage, reporting and verifying defects, performing regression and performance testing, and validating functionality during production deployments;
Developed and maintained JavaScript/Protractor automated tests and performed functional, integration, system, acceptance, regression, performance, data, backend, API, and production testing;

Top Projects

Healthcare QA & Practical Experience

I have hands-on experience in developing and testing healthcare software, including:

Embedded medical device software, including insulin pump management systems;
Patient data platforms handling ultrasound images, video examinations, documents, and other medical file types;

This experience provided me with strong knowledge of healthcare workflows, regulatory requirements, patient data protection, and safety standards for medical software.

I also have practical experience in developing localization for embedded medical devices and building translation tables for medical software where correct application behavior directly impacts human lives.

Mednet SQA Testing Certification:
Completed the Mednet SQA Testing course and certification focused on quality assurance practices for healthcare software.

Expertise / Core Skills

Testing and QA: SDLC, SQA methodologies, functional and technical specification analysis, regression, exploratory, and integration testing;
Cybersecurity QA: Cyber Deception, TI/CTI, MSSP, multi-tenancy, SSO/LDAP, role-based access, threat monitoring, and OWASP security practices;
Performance: Performance, load, stress, scalability, stability, and endurance testing;
Automation: UI, integration, and regression test automation;
Data and BI: SQL Server, Oracle DB, PostgreSQL, MongoDB, Data Lake, Databricks, ETL, and Power BI;
Programming: Java, JavaScript, basic OOP, and scripting;
Web and API: HTML, XML, JSON, REST, SOAP, JDBC, and Web UI;
Automation & Testing Tools: Selenium, Protractor, JMeter, Postman, SoapUI, and ReadyAPI;
Cloud and DevOps: Azure, Docker, Jenkins, CI/CD, GitHub, and Azure DevOps;
Healthcare QA: Mednet-certified with experience in medical monitoring, patient data, localization, and compliance systems;