prabhat pandey
@prabhatpandey1
I build resilient microservices, performance frameworks, and AI-assisted test automation at scale.
What I'm looking for
At Nutanix, I architect enterprise distributed load testing and observability platforms for PostgreSQL, MongoDB, and Oracle deployments. I improved 200GB+ database loading from 5–10 hours to 20–30 minutes and built automated AI-generated performance reporting.
Previously at ThoughtSpot, I led automation strategy across engineering teams, built BDD and GraphQL API automation frameworks, and reduced automation development time by 60% through Swagger Codegen integration. I also created chaos engineering and schema compatibility tools that exposed resilience and deployment risks before production.
At Harness, I developed frameworks to validate Kubernetes-based microservices, resilience mechanisms, service dependencies, and database integrations. My work covers circuit breakers, retries, fallbacks, scaling, data integrity, and recovery behavior in distributed systems.
Across Media.net, BetaCraft, and EviveHealth, I've built web, mobile, API, and performance automation using Python, Java, Selenium, Appium, JMeter, and CI/CD pipelines. I use AI-assisted workflows to accelerate development, debugging, failure triage, and performance analysis.
Experience
Work history, roles, and key accomplishments
Architected an enterprise-scale distributed load testing framework using Locust and Python, and engineered real-time observability infrastructure with Prometheus, Grafana, and InfluxDB. Optimized data loading performance by 10-15x and automated post-test analysis using Generative AI.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology and Science
Bachelor of Engineering (Hons.), Engineering
2008 - 2012
Pursued a Bachelor of Engineering with Honors, focusing on a rigorous curriculum in engineering and technology.
Availability
Location
Authorized to work in
Job categories
Skills
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