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Anisha Fernandes
Mid-Level Software Engineer specializing in FinTech and LLM-powered data products
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About
Full-stack engineer with payments/settlement domain experience who modernized a payment tracking workflow from REST to GraphQL and delivered a production payment status dashboard using Next.js App Router + TypeScript. Strong in performance and reliability work (Postgres indexing/Explain Analyze, Redis caching, Datadog observability) and in durable event-driven processing with Kafka (DLQs, idempotency, reconciliation, event replay).
Experience
Education
Key Strengths
- Shipped end-to-end full-stack payments dashboard (Next.js App Router + TypeScript + GraphQL backend)
- Designed nested routing with per-segment layouts/server components and server-side data fetching for consistency
- Improved peak-window latency ~25–30% via SQL optimization, indexing, and Redis caching (validated in Datadog)
- Strong Postgres data modeling for payments/event-sourcing style workflows (constraints, composite indexes, JSONB strategy)
- Built durable event-driven payment workflows with Kafka (retries, DLQ, idempotency, reconciliation, event replay)
- Production-quality engineering: test strategy, observability-first, and safe migrations using feature flags/phased rollout
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