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S Latha Naidu
Mid-level Software Development Engineer specializing in cloud-native backend systems
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About
Backend-focused engineer with experience at AWS building a global alarm processing platform (Python, Lambda/SQS/DynamoDB) handling traffic spikes and reliability issues; resolved duplicate alerts and latency under load by fixing hot partitions and enforcing idempotency. Previously at Cognizant, built Java/PostgreSQL backend workflows for healthcare dashboards using pre-aggregated summary tables, strong SQL optimization, and state-driven job orchestration with ELK-based observability and production guardrails.
Experience
Education
Key Strengths
- Debugged and resolved high-load reliability issues (duplicate alerts/latency) via DynamoDB repartitioning and idempotent conditional writes
- Strong production observability: SQS/Lambda metrics (queue depth, oldest message age, concurrency) and retry/redrive correlation to pinpoint bottlenecks
- Designs scalable data pipelines using pre-aggregation and async jobs to keep API latency stable as data grows
- PostgreSQL performance tuning using EXPLAIN plans, indexing strategy aligned to real query patterns, and query refactoring
- Builds state-driven multi-step workflows with safe retries, validation checks, and clear stop/escalation conditions
- Operational rigor: structured logging with trace IDs, centralized ELK dashboards, and alerting based on error thresholds
- Pragmatic AI production guardrails: input/output logging, evaluation baselines, validation of outputs, and graceful fallbacks
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