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Raj Patel
Mid-level Full-Stack Software Engineer specializing in cloud-native web applications
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Backend engineer with hands-on experience scaling a Python/Flask incident-logging platform processing thousands of daily logs. Strong in performance tuning (PostgreSQL/SQLAlchemy query optimization, partitioning, summary tables) and reliability patterns (Redis caching, Celery background workers, Docker + Jenkins CI/CD), with some multi-tenant data isolation experience via separate DBs/schemas.
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Key Strengths
- Designed modular Flask backend architecture (API/service/data layers) for scalability and debuggability
- Scaled high-volume incident logging backend handling thousands of logs daily
- Improved slow analytics/dashboard queries from a few seconds to under 1 second via query redesign, summary tables, and partitioning
- Implemented Redis caching for high-traffic endpoints to reduce latency under load
- Moved heavy computations to Celery background workers with batching to improve API responsiveness
- Built containerized deployments with Docker and automated CI/CD using Jenkins
- Implemented tenant isolation using separate databases/schemas for regulated/high-value customers
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