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Vindhya Naidu
Mid-level Backend Software Engineer specializing in Java/Spring microservices and FinTech
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Backend engineer with Apple experience who owned production platform improvements end-to-end, including a Redis caching layer that cut API latency ~35–40% and reduced DB load. Has hands-on on-call/incident response and observability (CloudWatch), plus experience scaling Docker/Kubernetes microservices and operating Kafka-based telemetry pipelines with schema evolution, deduplication, and replay/backfill handling.
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Key Strengths
- Owned and shipped Redis caching layer end-to-end for high-traffic APIs
- Improved API response times ~35–40% and reduced database load via caching and query optimization
- Production operations experience: on-call, CloudWatch monitoring, dashboards, and iterative tuning
- Incident handling for stale-cache edge cases; implemented immediate mitigations and long-term invalidation/logging improvements
- Scaled containerized microservices with Docker/Kubernetes and autoscaling for traffic spikes
- Designed/operated Kafka-based event/log pipeline with schema versioning, deduplication, and safe replays/backfills
- Resolved backfill/out-of-order event issues by pausing consumers, replaying in correct order, and adding validation logic
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