Naga Basi Reddy

Designed and deployed scalable data pipelines in Snowflake using Python (Snowpark API) and SQL, processing 5TB+ of daily transaction data with a 40% reduction in job execution time. Engineered a real-time analytics dashboard by integrating Snowflake with AWS Lambda and React.js, enabling business teams to visualize customer behavior trends with sub-second latency, improving decision-making speed by 60%. Led performance tuning for Snowflake multi-cluster warehouses, rewriting complex SQL queries and implementing materialized views, reducing query costs by 15K per month on AWS infrastructure. Developed a Python-based data governance tool leveraging Snowflake's dynamic data masking and row-level security to ensure HIPAA compliance for a healthcare client's 1M+ patient records. Automated CI/CD pipelines for Snowflake scripts using GitLab CI/CD, Terraform (IaC), and Python SDK, reducing deployment failures by 35% and enabling zero-downtime releases. Collaborated with data scientists to depl

Architected and deployed 10+ microservices using Java (Spring Boot), Hibernate, and Docker, reducing API latency by 50% for a high-traffic e-commerce platform serving 1M+ monthly users. Migrated monolithic legacy applications to AWS (EC2, ECS, RDS) using Terraform, achieving 99.95% uptime and cutting infrastructure costs by 30% through auto-scaling and spot instances. Built a responsive front-end dashboard with React.js, Redux, and TypeScript to visualize real-time IoT sensor data, improving operational efficiency for a manufacturing client by 25%. Designed RESTful APIs with Spring Security and OAuth2.0, securing sensitive user data for a banking application and reducing security vulnerabilities by 70% (verified via SonarQube). Automated testing and deployment using Jenkins, Selenium, and JUnit, increasing test coverage from 65% to 92% and reducing regression defects by 45% in Agile sprints. Mentored 3 junior developers on AWS best practices, React state management, and CI/CD pipelines