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Bharadwaj Bulley

Mid-level Backend Engineer specializing in microservices and event-driven systems

Mclean, VABackend Engineer4 years experienceMid-LevelRetailFood & BeverageRestaurants
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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.

Experience

Backend EngineerRestaurant Brands International
Software EngineerEminent Software Solutions
Software EngineerRestaurant Brands International

Education

University of Maryland, Baltimore Countymaster, Computer Science (2024)
Mahatma Gandhi Institute of Technologybachelor, Electrical and Electronics Engineering (2022)

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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Contact

candidate@example.com(555) 123-4567LinkedIn Profile
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Languages

English

Skills

JavaJavaScriptPythonSQLCC++HTML5CSS3RSpring BootSpring FrameworkHibernateJPAReactReactJS