Teams at MetLife

Designs, builds, maintains, monitors, and optimizes batch and real-time ETL/ELT pipelines across Azure and on-premises environments. Handles large structured and unstructured datasets while ensuring reliability, scalability, security, compliance, and data quality. Collaborates with business, technology, operations, governance, architecture, data science, DevOps, and BI teams. Independently leads solution design and estimation, mentors data engineers, and supports production-grade data and analytics solutions.

Designs, develops, and maintains automated test frameworks using Playwright and Selenium. Creates automated and manual tests for functional, API, mobile, and integration testing; integrates suites into CI/CD pipelines; analyzes results and defects; collaborates with Agile teams; supports release readiness and production validation; and mentors junior QA engineers.

Design and implement production-grade AI and machine learning solutions on an enterprise AI platform. Collaborate with product, architecture, business, and platform teams to develop scalable solutions, provide technical guidance, improve platform capabilities, and ensure reliability, observability, quality, and responsible AI compliance. Mentor junior engineers and promote strong software engineering practices, including testing, documentation, and knowledge sharing.