G S Jaigururam

About G S Jaigururam

C#/.NET Developer and Automation Engineer skilled in building scalable, cloud-native RPA solutions with Selenium, AWS, and CI/CD. Experienced in automating enterprise workflows across various platforms, reducing manual effort by 70–90% and delivering measurable FTE savings. Passionate about designing modular, maintainable systems that optimize processes and drive reliable, high-quality software delivery.

Experience

1. Application Developer

   Amazon

   Jun 2021 — Present · Bengaluru, IN

   Built and delivered enterprise-scale automation and software solutions as a C#/.NET Developer and Automation Engineer, leveraging C#.NET Framework/Core, Selenium, and AWS to design modular, resilient, and cloud-native applications that optimize order processing, invoicing, and data integration workflows. • Developed a robust RPA solution integrating Salesforce, Zoho, and PayU for automated invoice generation, payment categorization, and PDF workflows, deployed on AWS with CI/CD pipelines, reducing manual processing by 90% and achieving approximately 3.5 FTE savings annually. • Designed and implemented scalable, maintainable architectures for Amazon S3 data integration, streamlining dependency management using NuGet and improving reliability of large-scale workflows, contributing around 2.2 FTE savings. • Engineered a.NET application for automated email parsing and SIM ticket creation across IN and AE marketplaces, enhancing business logic, auditing, credential management, and reducing manual workload by 70%(~2.8 FTE savings). • Built and maintained CI/CD-enabled architectures, applying Git-based version control, NuGet package management, and best coding practices to ensure reliable, high-quality software delivery.• Contributed to support engineering efforts by troubleshooting production issues, implementing targeted code fixes, and performing version upgrades, enhancing system stability and maintainability. • Automated over 20 business-critical processes across multiple platforms, achieving significant time and resource savings while ensuring accurate data validation, system integration, and operational efficiency.• Recognized for problem-solving, cross-functional collaboration, and modernizing legacy systems with reusable design patterns, enabling broader automation adoption and long-term scalability across critical enterprise applications.

Education

• Great Lakes Institute of Management

  Business Data Analyst - BA Academy, Amazon, Business Data Analytics

• P.S.R Engineering College, Sivakasi - 626 140

  Bachelor of Engineering - BE, Mechanical Engineering

• Texas McCombs School of Business

  Postgraduate Degree, Data Science and Business Analytics