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Sri Lalitha
Senior Full-Stack Java Engineer specializing in cloud-native microservices and FinTech
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About
Backend engineer who owned a Python task management API with JWT auth, async notifications, and performance work (DB optimization/caching) to handle high volumes. Led an on-prem to Azure private cloud migration at Morgan Stanley using GitOps and IaC (Terraform/ARM) with phased rollout and rollback planning. Also built a Kafka real-time streaming pipeline with exactly-once/idempotent consumers and Prometheus/Grafana monitoring.
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Key Strengths
- Owned end-to-end design and implementation of a scalable Python task management REST API (auth, workflows, notifications)
- Scaled high-volume task/notification workloads via database optimization, caching, and async processing
- Led on-prem to Azure private cloud migration with phased plan and rollback strategies
- Built and tuned Kafka streaming pipeline for high-throughput, low-latency processing with ordering considerations
- Implemented idempotent consumers and exactly-once processing patterns
- Established observability for streaming systems using Prometheus/Grafana (consumer lag, health metrics)
- Applied GitOps with IaC (Terraform/ARM) and PR-based change control to improve auditability and rollback
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