* Designed and developed high-performance, low-latency payment APIs using Python (FastAPI), REST, PostgreSQL, and Redis, improving transaction authorization latency by 28% across global payment systems.

* Built a distributed microservices architecture deployed on AWS (Lambda, S3, DynamoDB, API Gateway) handling 5M+ daily transactions with high availability and fault tolerance.

* Implemented event-driven data pipelines using Apache Kafka and Kafka Streams, enabling real-time processing and monitoring of millions of financial events per day.

* Engineered scalable data ingestion and ETL pipelines using Python, AWS Lambda, and S3 data lakes, supporting downstream analytics and reporting systems.

* Developed real-time analytics dashboards using React.js, WebSockets, and Chart.js, reducing investigation time for risk and finance teams.

* Strengthened platform security by implementing OAuth2, JWT authentication, rate limiting, and PCI-DSS-compliant controls, preventing 98K+ unauthorized access attempts/month.

* Optimized system performance via caching (Redis), query tuning, and asynchronous processing, improving throughput and system reliability.

* Collaborated in an Agile/Scrum environment, contributing to CI/CD pipelines (GitHub Actions, Jenkins) and ensuring high code quality through testing and code reviews.

* Developed scalable backend services and REST APIs using Java Spring Boot, enabling secure exchange of healthcare data across distributed systems.

* Designed and optimized complex SQL queries and indexing strategies (Oracle), reducing report generation time by 35% for large-scale datasets.

* Built batch and distributed data processing pipelines using Apache Spark, transforming high-volume clinical datasets for analytics and reporting.

* Implemented event-driven architecture using RabbitMQ, improving system responsiveness by 40% for asynchronous workflows.

* Designed role-based access control (RBAC) and audit logging systems, improving security and reducing unauthorized access incidents by 45%.

* Developed and maintained unit and integration tests using JUnit and Mockito, increasing code coverage and reducing production defects.

* Contributed to system design, API design, and performance optimization for high-availability enterprise healthcare platforms.

* Built full-stack financial analytics platforms using React.js (frontend) and Flask (backend), improving reporting efficiency by 30%.

* Developed real-time and batch ETL pipelines using Python, PostgreSQL, and Azure Data Factory, reducing manual reconciliation efforts by 45%.

* Designed event-driven data pipelines using Apache Kafka, improving data latency by 35% for market data processing systems.

* Implemented workflow orchestration pipelines using Apache Airflow, automating ETL jobs and improving data availability.

* Optimized backend APIs and database queries, improving response time by 33% for high-volume financial data queries.

* Built interactive KPI dashboards using Power BI and SQL, enabling data-driven decision-making for investment teams.