Chethana Wickramasinghe
Software Developer @Scotiabank
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WORK HISTORY
Software Developer @Scotiabank
Toronto, ON, CA
Automotive & Deposit Support Solutions-Modernized multiple enterprise banking apps by upgrading Node.js (v12→v20), React, and 50+ dependencies to eliminate vulnerabilities and improve maintainability-Migrated 5 critical applications from Windows Server 2012 → 2019 with minimal downtime, ensuring secure and compliant environments-Partnered with DevOps to automate CI/CD pipelines and deployment workflows, reducing manual intervention and accelerating release cycles-Subject Matter Expert for a high-traffic app (4 APIs, 10 microservices) used by auto dealerships nationwide-Automated certificate renewal processes via PowerShell and Bash, cutting a multi-week task to hours-Lead monthly production deployments, performed SAST remediation, and enforced security compliance-Nominated for the \"Best of Best\" Award for exceptional teamwork and contributions, acknowledged by colleagues and leadership.
EDUCATION
Lassonde School of Engineering - York University
Bachelor's degree, Computer Engineering
ABOUT CHETHANA WICKRAMASINGHE
I’m a Full-Stack Software Developer/Engineer with a strong focus on automation, cloud computing, and scalable application development. With hands-on experience at Scotiabank and a First Class Honours B.Eng. in Computer Engineering from York University, I thrive on turning complex business challenges into elegant, efficient technical solutions.My professional experience spans the full development lifecycle from backend services in C#/.NET and Express.js to frontend development in React, database design in SQL, and automation using Bash and PowerShell. I’m passionate about building secure, high-performing systems in hybrid and cloud environments, and driving continuous improvement through DevOps practices.Highlights:• Delivered full-stack solutions for enterprise-grade banking applications serving thousands of users.• Improved deployment reliability and efficiency through CI/CD automation using Azure DevOps and GCP pipelines.• Collaborated in Agile teams to design, build, and ship production-ready features across cloud and hybrid infrastructures.Earlier in my career, I worked extensively with Python and R on machine learning and data-driven automation projects, applying techniques such as data preprocessing, model training, and performance evaluation to solve real-world problems. This experience strengthened my analytical mindset and continues to influence how I design intelligent, efficient software systems.I’m driven by curiosity, collaboration, and continuous learning, especially in cloud infrastructure, containerization, and intelligent automation. Always open to connecting about software engineering, cloud, or ML-enabled automation opportunities.
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