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Hello! I’m Sainiharika Duggireddy, a software development engineer with 4+ years of experience building scalable full‑stack and cloud‑native applications across automation, data, and enterprise domains. I enjoy turning complex requirements into robust systems, delivering reliable APIs, data pipelines, and practical solutions that scale. I specialize in Java and Python, with deep experience in Spring Boot, AWS, Docker, and data engineering. I’m passionate about performance, reliability, and collaborating with cross‑functional teams to ship clean code and thoughtful architecture.…Hello! I’m Sainiharika Duggireddy, a software development engineer with 4+ years of experience building scalable full‑stack and cloud‑native applications across automation, data, and enterprise domains. I enjoy turning complex requirements into robust systems, delivering reliable APIs, data pipelines, and practical solutions that scale. I specialize in Java and Python, with deep experience in Spring Boot, AWS, Docker, and data engineering. I’m passionate about performance, reliability, and collaborating with cross‑functional teams to ship clean code and thoughtful architecture.

Sai Niharika Duggireddy

Full Stack Developer, Back-End Developer, Web Developer, +2

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Hello! I’m Sainiharika Duggireddy, a software development engineer with 4+ years of experience building scalable full‑stack and cloud‑native applications across automation, data, and enterprise domains. I enjoy turning complex requirements into robust systems, delivering reliable APIs, data pipelines, and practical solutions that scale. I specialize in Java and Python, with deep experience in Spring Boot, AWS, Docker, and data engineering. I’m passionate about performance, reliability, and collaborating with cross‑functional teams to ship clean code and thoughtful architecture.…Hello! I’m Sainiharika Duggireddy, a software development engineer with 4+ years of experience building scalable full‑stack and cloud‑native applications across automation, data, and enterprise domains. I enjoy turning complex requirements into robust systems, delivering reliable APIs, data pipelines, and practical solutions that scale. I specialize in Java and Python, with deep experience in Spring Boot, AWS, Docker, and data engineering. I’m passionate about performance, reliability, and collaborating with cross‑functional teams to ship clean code and thoughtful architecture.

Available to hire

Hello! I’m Sainiharika Duggireddy, a software development engineer with 4+ years of experience building scalable full‑stack and cloud‑native applications across automation, data, and enterprise domains. I enjoy turning complex requirements into robust systems, delivering reliable APIs, data pipelines, and practical solutions that scale.

I specialize in Java and Python, with deep experience in Spring Boot, AWS, Docker, and data engineering. I’m passionate about performance, reliability, and collaborating with cross‑functional teams to ship clean code and thoughtful architecture.

Skills

Experience Level

Expert

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Language

English

Advanced

Work Experience

Software Development Engineer at FLOGA Technologies

October 1, 2025 - Present

Designed and developed scalable AWS-based applications by translating business requirements into technical solutions, building RESTful APIs, and supporting microservices-based cloud architectures. Contributed to backend development using Java, Spring Boot, and Node.js, while optimizing SQL queries and managing databases in MySQL and Oracle environments. Streamlined deployments using Docker and CI/CD pipelines, maintained version control with Git, and actively participated in Agile sprints, code reviews, and technical design discussions. Implemented event-driven integrations using AWS services such as Lambda, S3, and API Gateway, ensuring secure, scalable, and high-availability system design. Enhanced application performance through code optimizations, caching strategies, and cloud-native monitoring and debugging tools.

Data Engineer Intern at NXGN Verse

February 1, 2025 - October 1, 2025

Designed and developed end-to-end data pipelines using Azure Data Factory and Databricks with Java and SQL to support scalable product development. Built and optimized data workflows for ingestion, transformation, and storage, ensuring high performance, reliability, and scalability across datasets. Collaborated with cross-functional teams in a remote Agile environment to enhance data architecture and analytics; used Python for pipeline updates and automation. Designed structured, reproducible workflows with version control and data validation to ensure scalability and reproducibility.

Java Full Stack Developer at Data Consultancy Services (TCS)

June 1, 2021 - July 1, 2023

Migrated vehicle malfunction tracking platform from Angular 12 to 14, improving UI performance and maintainability while enhancing user experience. Developed Spring Boot microservices and REST APIs supporting 500K+ users, and implemented predictive maintenance analytics reducing downtime by 15%. Built real-time vehicle geolocation tracking integrated with Google Maps APIs, improving tracking accuracy by 25%. Containerized applications using Docker and deployed on AWS EKS with CI/CD pipelines (Jenkins, Git), enabling same-day releases. Achieved 95% test coverage using JUnit and Mockito, collaborating with QA and cross-functional teams to ensure zero major post-release defects.

Software Development Research Assistant at University of North Carolina at Charlotte

February 1, 2024 - January 1, 2025

Developed and automated Java-based simulation and data processing pipelines for large-scale computational modeling using LAMMPS and Abaqus. Built machine learning models and optimized algorithms using Java and C++ to analyze high-volume simulation data; used Python for updating scripts and automation tasks. Designed reproducible workflows with version control and data validation to ensure scalability and research reproducibility. Improved runtime performance by implementing parallel processing and memory optimizations. Collaborated with cross-functional teams to translate computational requirements into scalable software solutions and technical documentation.