AWS


Detail-oriented and certified QA Engineer with a strong foundation in IT, logistics, and operational systems. Proven experience in both manual and automated testing, with deep understanding of the Software Testing Life Cycle (STLC), bug tracking, and continuous quality improvement. Proficient in tools such as Postman, Selenium WebDriver, Python, Pytest, JIRA, SQL, and version control with Git.
Hands-on expertise in API testing, UI validation, and end-to-end test execution, as well as working with ERP systems, SCADA integration, and IoT monitoring platforms. Certified in Amazon Web Services (AWS), with knowledge of cloud-based environments, deployment pipelines, and testing within scalable cloud architectures. Experienced in integrating tests into CI/CD workflows using tools like Jenkins or GitHub Actions.
Known for a sharp analytical mindset, strong problem-solving abilities, and a high level of adaptability in fast-paced Agile/Scrum teams. Skilled in communication, documentation, teamwork, and time management, consistently delivering accurate and actionable bug reports, collaborating effectively with cross-functional teams, and contributing to process optimization.
Additional strengths include BDD testing (e.g., Cucumber), cross-browser and cross-platform testing, regression testing, and the ability to interpret logs, analyze root causes, and ensure test coverage. Committed to delivering high-quality software products that enhance user experience and meet business goals.
• Implemented an ERP-based inventory management system, increasing operational efficiency by 10%. • Collaborated in the integration of industrial IoT devices including ultrasonic level sensors and flow meters with LoRaWAN gateways for remote wastewater pipeline monitoring, significantly enhancing data accuracy.
• Configured MQTT and Modbus protocols for secure data transmission to SCADA and cloud analytics platforms.
• Automated data workflows to feed sensor information into Tableau dashboards, delivering weekly insights that supported strategic business decisions, operational improvements, and early anomaly detection.
• Participated in SCADA system deployment, gaining hands-on experience with industrial communication protocols and distributed system architectures.
• Streamlined operational workflows by implementing standardized procedures across multiple departments, resulting in increased efficiency and improved project turnaround times.
• Collaborated with cross-functional teams to enhance communication channels, improving team cohesion and project delivery.
• Developed and maintained comprehensive operational documentation to ensure compliance with industry standards and facilitate knowledge sharing.
• Strengthened analytical, problem-solving, and project coordination skills, enabling a smooth transition into QA roles.
• Collaborated with cross-functional teams to enhance communication channels, improving project turnaround times and team cohesion.
• Provided first-line IT support for logistics and shipping operations, assisting users across departments such as export, import, warehouse, and documentation.
• Diagnosed and resolved technical issues related to freight systems, booking platforms, and BL generation tools, ensuring business continuity.
• Installed, configured, and maintained hardware and software across multiple locations, including offices and bonded warehouses.
• Supported day-to-day use of ERP/TMS platforms (e.g., CargoWise, SAP, Softcargo) and ensured systems functioned properly to support operational needs.
• Reported system issues and errors, documenting them clearly and communicating with senior technicians to facilitate timely resolution.
• Managed user accounts, access permissions, and email configurations within internal systems.
• Maintained accurate IT documentation for systems, user guides, and issue tracking.
• Collaborated with operations and customer service teams to troubleshoot problems affecting shipping schedules, document processing, and container tracking systems.
Pytest/Pycharm
undefined1. Collaborated in the identification and documentation of over 120 software bugs across web and mobile platforms, contributing to a 15% reduction in production issues over one quarter through thorough manual and exploratory testing.
2. Improved QA workflow efficiency by 20% by implementing Pytest for automation and helping refactor legacy manual test cases into maintainable and reusable automated scripts.
3. Validated IoT data transmission workflows by designing custom test scenarios for edge-device behavior and verifying integration with SCADA systems, ensuring accurate data flow and system stability under real-time conditions.
Member of UTest and Ministry of Testing
Contributor on Dev.to and participant in QA forums on Reddit and LinkedIn
AWS Certified and engaged in cloud QA communities
ISTQB® member with certified microcredentials
AWS
Docker
SQLite
Android Studio
SCADA interfaces
Selenium WebDriver