Nikhil Varma P.

About Nikhil Varma P.

SDE with Full-Stack Expertise & Data Engineering I am an experienced Full-Stack Developer and Data Engineer, skilled in designing scalable applications, optimizing ETL workflows, and managing cloud-native solutions. My expertise includes frontend and backend development, big data tools, and cloud platforms, enabling me to deliver impactful, end-to-end solutions for diverse business needs.At Deloitte, I built full-stack applications with React-based UIs and Spring Boot backend services to support data visualization and processing for healthcare analytics. I implemented scalable ETL pipelines using Airflow and PySpark to handle large datasets and integrated Kafka for real-time data streaming.I automated CI/CD pipelines with Jenkins and Terraform, improving deployment reliability. Collaborating with cross-functional teams, I optimized RESTful APIs to ensure seamless integration of distributed systems while enhancing system scalability and decision-making.At Amazon, I developed serverless data pipelines for the Alexa Devices Domain using AWS Glue, Kinesis, and Lambda to process and analyze real-time telemetry data. I enhanced backend workflows with Spring Boot and DynamoDB for low-latency access to analytics systems.I implemented real-time anomaly detection with Kinesis Analytics and Elasticsearch, enabling proactive monitoring of Alexa Devices. Additionally, I created React-based dashboards to visualize device performance metrics and collaborated with data scientists to optimize machine learning pipelines.I ensured reliability through unit testing and automated deployments using Terraform and AWS CodePipeline for robust, maintainable infrastructure.Startup ExperienceAt Cloud9 Digital, I built full-stack eCommerce solutions, including React dashboards for real-time sales and user behavior analytics. I created automated ETL pipelines with AWS Glue and S3, enabling seamless data processing.I also developed microservices to handle data storage and processing, improving scalability and supporting business intelligence workflows. Technical SkillsFrontend: React, HTML5, CSS3, JavaScriptBackend: Spring Boot, Python, Java, RESTful APIsETL Pipelines: Airflow, PySpark, AWS Glue, KafkaBig Data Tools: Hadoop, SparkCloud PlatformsAWS: Lambda, S3, Glue, Redshift, KinesisDatabasesPostgreSQL, MongoDB, DynamoDBDevOpsTerraform, Jenkins, DockerLet’s ConnectI am passionate about combining full-stack development and data engineering to create innovative, scalable applications. Contact me at n••••••••@gmail.com to discuss opportunities!

Experience

1. Software Engineer

   Pinterest

   Aug 2025 — Present · San Francisco, CA, US

Education

• Thomas J. Watson College of Engineering and Applied Science, Binghamton University

  Master's degree, Computer Science