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Hi, I'm Divya Sai Nidadavolu. I'm a Full Stack Developer with 4 years of experience building scalable machine learning pipelines, real-time data workflows, and cloud-native applications using Databricks Lakehouse, Apache Spark, Python, Java, and AWS.\n\nI've productionized ML models, optimized distributed systems, and built secure microservices and dashboards that deliver real business impact. I enjoy collaborating across teams, automating CI/CD, and improving data reliability in high-volume environments.…Hi, I'm Divya Sai Nidadavolu. I'm a Full Stack Developer with 4 years of experience building scalable machine learning pipelines, real-time data workflows, and cloud-native applications using Databricks Lakehouse, Apache Spark, Python, Java, and AWS.\n\nI've productionized ML models, optimized distributed systems, and built secure microservices and dashboards that deliver real business impact. I enjoy collaborating across teams, automating CI/CD, and improving data reliability in high-volume environments.

Divya Sai Nidadavolu

Full Stack Developer, Web Developer, Back-End Developer, +4

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Hi, I'm Divya Sai Nidadavolu. I'm a Full Stack Developer with 4 years of experience building scalable machine learning pipelines, real-time data workflows, and cloud-native applications using Databricks Lakehouse, Apache Spark, Python, Java, and AWS.\n\nI've productionized ML models, optimized distributed systems, and built secure microservices and dashboards that deliver real business impact. I enjoy collaborating across teams, automating CI/CD, and improving data reliability in high-volume environments.…Hi, I'm Divya Sai Nidadavolu. I'm a Full Stack Developer with 4 years of experience building scalable machine learning pipelines, real-time data workflows, and cloud-native applications using Databricks Lakehouse, Apache Spark, Python, Java, and AWS.\n\nI've productionized ML models, optimized distributed systems, and built secure microservices and dashboards that deliver real business impact. I enjoy collaborating across teams, automating CI/CD, and improving data reliability in high-volume environments.

Available to hire

Hi, I’m Divya Sai Nidadavolu. I’m a Full Stack Developer with 4 years of experience building scalable machine learning pipelines, real-time data workflows, and cloud-native applications using Databricks Lakehouse, Apache Spark, Python, Java, and AWS.\n\nI’ve productionized ML models, optimized distributed systems, and built secure microservices and dashboards that deliver real business impact. I enjoy collaborating across teams, automating CI/CD, and improving data reliability in high-volume environments.

Skills

Experience Level

Expert

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Intermediate

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Intermediate

Language

English

Fluent

Work Experience

Full Stack Developer at Databricks

August 1, 2024 - Present

Architect end-to-end ML pipelines on the Databricks Lakehouse using Delta Lake, Auto Loader, and Spark 3.x, processing 10TB+ datasets with low-latency backend services. Build and maintain responsive React.js/TypeScript dashboards to visualize real-time analytics and ML outputs for business and data science teams. Connect frontend dashboards to backend ML inference endpoints via REST/GraphQL APIs for real-time insights in fraud detection, personalization, and risk management. Integrate MLflow for experiment tracking and model governance; automate CI/CD pipelines with GitHub Actions and Databricks Jobs API for both frontend and backend deployments. Implement frontend and backend testing with Jest, Playwright, and PyTest; optimize feature engineering pipelines and Lakehouse compute to reduce cloud costs by 20% and boost dashboard performance. Enforce OAuth2/JWT authentication and RBAC; collaborate in an Agile/Kanban team to increase dashboard adoption by 30%.

Software Developer at Wipro

January 1, 2021 - July 1, 2023

Developed and optimized large-scale web applications using Java, Python, and Node.js, accelerating feature delivery by 30% in Agile cross-functional teams. Built secure RESTful APIs and microservices using Spring Boot, Express.js, and JWT/OAuth2, reducing latency by 20% and improving integration reliability. Designed dynamic, responsive UIs with React.js, HTML/CSS, improving customer engagement by 25% and reducing UI defects. Implemented robust relational and NoSQL data models (SQL Server, MongoDB), improving query performance by 40% and supporting analytics for 5+ high-traffic applications. Integrated TensorFlow, Scikit-learn, and OpenCV to deliver production-grade AI features (facial recognition, object detection), increasing automation accuracy by 35%. Containerized and deployed services using Docker, AWS EC2, Lambda, and CI/CD pipelines, reducing provisioning time by 50% and ensuring consistent releases. Worked with QA/DevOps to boost code quality and test coverage to 85% and reduc