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Mohan Naik Megavath
Mid-level Data Engineer specializing in real-time pipelines and cloud data platforms
Remote, USAData Engineer4 years experienceMid-LevelFinancial ServicesInsuranceFinTech
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About
Backend engineer with hands-on experience building secure Python/Flask services (sessions, JWT, RBAC) and optimizing PostgreSQL/SQLAlchemy performance, including custom SQL using CTEs/window functions profiled via EXPLAIN ANALYZE. Also integrates LLM features via OpenAI/Azure into backend systems and improves scalability with RabbitMQ-driven async processing, caching, and multi-tenant data isolation patterns.
Experience
Data EngineerTruist Bank
Data EngineerOneAmerica Financial Partners
Data Engineering InternJuspay
Education
Elmhurst Universitymaster, Computer Information Technology (2025)
National Institute of Technology, Durgapurbachelor, Electronics and Communication (2020)
Key Strengths
- Designs modular Flask backends with clear separation of routes/models/services
- Implements secure authentication (Flask-Login, bcrypt) and JWT-based API security
- Builds RBAC with DB-defined roles and route-protecting decorators
- SQLAlchemy/PostgreSQL performance tuning (indexing, eager loading, connection pooling, pagination)
- Writes and optimizes complex PostgreSQL SQL (CTEs, window functions) using EXPLAIN ANALYZE
- Integrates AI services into backends (OpenAI, Azure Cognitive Services) with prompt/middleware layers
- Uses queues (RabbitMQ) and async processing plus caching to improve throughput and responsiveness
- Designs multi-tenant systems with strong data isolation strategies (per-tenant DB/schema/RLS)
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