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Raghavender Vedire
Staff Backend/Distributed Systems Engineer specializing in cloud observability and payments
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About
Backend/full-stack engineer with experience building large-scale systems on Salesforce and eBay, including a sharded Oracle-backed personalization store used by millions of sellers and a Spring Boot microservice that executes scheduled payouts at high volume. Emphasizes production readiness via state-machine-based idempotency, strong observability (Splunk/Elasticsearch/PagerDuty), and extensive Selenium/Sauce Labs automation.
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Key Strengths
- Designed scalable user-preference/personalization architecture on Salesforce for millions of sellers
- Built low-latency payout microservice handling payouts for millions of sellers
- Strong testing discipline: unit tests plus Selenium/Sauce Labs UI automation
- Production-grade observability setup using Splunk, Elasticsearch, and PagerDuty
- Idempotent financial workflow design using a state machine and single source of truth
- API design and rollout practices including OpenAPI docs and blue/green deployments for safe breaking changes
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