About
SDET-1 / Automation Engineer with 2 + years of experience in Python-based automation for web UI, REST APIs, and data-driven systems. Skilled in Selenium, REST API frameworks, SQL validation, and end-to-end workflow assurance, with hands-on exposure to Microsoft Azure, Azure DevOps CI/CD, YAML pipelines, and Google Cloud Spanner. Experienced in owning the full SDLC, working in Agile environments, using JIRA for work tracking, and leveraging AI-assisted tools (GitHub Copilot, ChatGPT, Cursor) with prompt engineering to accelerate development and improve framework efficiency.
Skills & Expertise (53)
Work Experience
SDET-1
MSCI(Morgan Stanley Capital International)
june 2024 - Present
•Owned and improved backend automation for a data collection management platform, covering 31+ REST API endpoints and 166+ scenarios, with reusable Python integration suites adopted by data engineering teams to improve service reliability. •Designed and executed SQL-based data integrity checks on Google Cloud Spanner, building 26+ production-grade sanity queries running daily on UAT and Production, validating 10M+ records per run in under 2 minutes. •Scaled automation coverage by 60%+, expanding validation from 1 data team (6 data points) to 7+ teams (520+ data points), enabling rapid platform growth with consistent quality controls. •Owned full UI automation strategy using Selenium, automating 325 scenarios across 4 core screens and enabling parallel execution with BehaveX, improving execution efficiency by ~75%. •Implemented CI/CD pipelines in Azure DevOps, utilizing YAML, reusable templates, and task orchestration for seamless, automated deployment workflows. •Built couple of proof-of-concept solutions integrating AI-powered frameworks, leveraging prompt engineering and Cursor-based workflows to accelerate development and improve productivity
Software Engineer Intern
MSCI(Morgan Stanley Capital International)
jan 2018 - jan 2021
Developed Java-based automation to identify unauthorized users from third-party tools. Built and enhanced a full-stack user management application with real-time use cases, contributing across backend and frontend. Containerized applications using Docker and automated image build and deployment to Azure Container Registry via Azure Pipelines and YAML, helping convert a PoC into a production-ready solution. Technologies: Java, Spring Boot, React, TypeScript, SQL Server, Docker, Azure Pipelines, YAML
Education
Masters of Computer Application
2021 - 2024 · India
Bachelor of Science
2018 - 2021 · India
Certifications
Power BI Data analyst : Associate level
Microsoft · 2025
Azure Fundamentals(AZ-900)
Microsoft · 2024
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