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Bharadwaj Bulley
Mid-level Backend Engineer specializing in microservices and event-driven systems
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About
Backend-leaning full-stack engineer who has built and operated event-driven microservices platforms (FastAPI/React/TypeScript, Kafka, Kubernetes) and internal DevOps tooling. Delivered measurable impact through user-feedback-driven iteration (WebSockets update mechanism cutting redundant API calls ~30%) and operational improvements (deployment monitoring dashboard reducing rollback time ~40%), with strong focus on reliability, observability, and data consistency at scale.
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Key Strengths
- End-to-end backend ownership for high-volume complaint management system with iterative MVP releases
- User-feedback-driven performance improvements (implemented WebSockets; reduced redundant API calls ~30%)
- Designed and delivered scalable microservices platform (Kafka, FastAPI, Kubernetes) for workflow automation
- Resolved microservices data consistency issues using idempotency, event identifiers, retries with exponential backoff, and offset management
- Improved observability across services with ELK centralized logging and Jaeger distributed tracing
- Built and drove adoption of an internal deployment monitoring dashboard; reduced rollback time ~40%
- Integrated heterogeneous DevOps data sources (Jenkins/Kubernetes/Grafana) via normalized aggregation layer and parallel async fetching
- Prioritization in ambiguous, multi-stakeholder environments; reduced manual reconciliation effort ~30% via alerting/exception handling iteration
- Owned end-to-end backend design and development for a real-time fitness tracker (Python/Flask + AWS)
- Resolved inconsistent device data via validation/retry with SQS + Lambda
- Performance optimization via caching, cutting response times by nearly half
- Production Kubernetes microservices deployment on AWS EKS using Helm (autoscaling, probes, resource limits)
- Built CI/CD pipelines (GitHub Actions/Jenkins) to ECR and automated EKS deployments; implemented GitOps with Argo CD and rollback
- Solved failed rollouts by improving readiness/health probes and enabling Argo CD auto-rollbacks
- Implemented cross-environment secrets management using AWS Secrets Manager integrated with Kubernetes Secrets
- Planned/executed cloud-to-on-prem Kubernetes migration with zero-downtime strategy (Helm + Kafka + blue/green)
- Built Kafka streaming pipeline for real-time sales/inventory across 100+ stores with idempotency, DLQs, and consumer-lag monitoring
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