Full-Stack Engineer - Microservices & Real-Time Data Platforms

Srinivas Kadalal

***************@*****.*** 330-***-**** USA LinkedIn

Summary

Full-Stack Developer with 4+ years of experience building scalable web applications, microservices, and real-time data platforms. Proficient in React.js, Node.js, Java Spring Boot, and Python with strong expertise in REST APIs, event-driven architecture, and streaming technologies such as Apache Kafka and Apache Flink. Experienced in designing cloud-native systems on AWS, GCP, and Azure, implementing CI/CD, Docker, and Kubernetes to deliver high- performance and reliable applications. Contributed to large-scale enterprise platforms while working with organizations such as Netflix and TCS. Technical Skills

Full-Stack Development & Frontend: React.js, Angular, TypeScript, JavaScript, HTML5, CSS3, Node.js, Express.js, Java Spring Boot, Python (Flask, FastAPI), .NET Core, Redux, NgRx, RxJS, D3.js

Backend, APIs & Microservices: REST APIs, gRPC, WebSockets, Microservices Architecture, Event-Driven Architecture, CQRS, Domain-Driven Design

(DDD), Serverless Architecture, RBAC, OAuth 2.0, JWT, Keycloak

Data Engineering & Streaming: Apache Kafka, Kafka Streams, Apache Flink, Real-Time Streaming Pipelines, Event Streaming, ETL Pipelines, Real-Time Analytics, High-Throughput Systems, Low-Latency Data Processing, Data Validation (Great Expectations)

Databases & Caching: PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra, Redis, Firebase, Oracle SQL, Query Optimization, Data Caching

AI / ML & Generative AI: Generative AI, OpenAI APIs, Claude 3.5, LLaMA-3, Retrieval-Augmented Generation (RAG), NLP, AI Analytics Agents

Cloud Platforms & DevOps: AWS (EC2, Lambda, S3, API Gateway, Cognito), GCP (BigQuery, Dataflow), Azure (AKS, Functions, Service Bus), Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps, CI/CD, Blue-Green Deployment

Testing, Monitoring & Security: JUnit, Mockito, PyTest, Selenium, Cypress, Postman, Swagger, SonarQube, Prometheus, Grafana, OpenTelemetry, ELK Stack, PCI DSS, SOC 2 Compliance

Certificates

Automation Specialist Level 2 – (Tricentis Tosca)

Professional Experience

Full Stack Developer, Netflix 06/2025 – Present Remote, USA

Designed and developed scalable full-stack web applications to analyze and manage large-scale Netflix data using React.js for the frontend and Node.js

/ Express for backend services.

Implemented cloud-native data architectures on AWS (EC2, Lambda, S3) and GCP (BigQuery, Dataflow) to optimize real-time data pipelines between frontend and backend systems, improving data processing latency by 40%.

Developed real-time streaming data pipelines using Kafka Streams and Apache Flink, enabling near real-time analytics for user engagement metrics and recommendation systems.

Built interactive real-time dashboards with React, integrating Kafka-based streaming data to deliver sub-second insights supporting personalized recommendation engines.

Integrated machine learning models into web applications to enable personalized features such as Continue Watching and auto-preview while maintaining 99.9% data accuracy with automated validation using Great Expectations.

Designed and optimized RESTful APIs with Node.js and automated CI/CD pipelines using Jenkins, GitHub Actions, and Docker to ensure scalable integration and high-availability deployment of full-stack applications. System Engineer (Backend Engineer), TCS – Bank of America 08/2021 - 12/2024 Hyderabad, India

Developed and maintained large-scale web applications using React and Java Spring Boot, improving user experience, platform performance, and system responsiveness while collaborating with cross-functional teams to deliver scalable enterprise solutions.

Engineered Java Spring Boot microservices for real-time investment analytics, processing high-volume market and trade data with low latency and fault tolerance, supporting thousands of concurrent users for platforms developed at Bank of America through Tata Consultancy Services.

Optimized asynchronous microservices using Redis and Azure Cache for Redis, improving service communication, reducing API latency by 15%, and enabling high-throughput event-driven processing for thousands of real-time trade events.

Designed fault-tolerant backend systems with service discovery, circuit breakers, load balancing, and WebSockets, handling 50K+ concurrent events while integrating with React dashboards for real-time portfolio and investment analytics visualization.

Implemented secure and observable platforms by optimizing SQL Server databases (schemas, indexing, queries), enforcing RBAC and JWT authentication, and integrating monitoring with Azure Monitor and Grafana, improving operational efficiency by 17% and ensuring reliable system performance.

Education

Master of Science in Computer Science 01/2024 – 12/2025 Kent State University, Kent, Ohio, USA

Bachelor of Technology in Electronics and Communication 08/2017 – 05/2021 MLR Institute of Technology, Hyderabad, India

Projects

FlashCode NextJS, MongoDB, Flask, TailwindCSS – Website link : https://flashcodemain.vercel.app/

Built a full-stack Q&A platform with web, mobile, and admin dashboards, featuring search, voting, collections, coding challenges, and secure authentication via Google, GitHub, and email, achieving high-performance and accessible UI design. Target Capturing Using RaspberryPi Python, OpenCV, TensorFlow – (Paper Link)

Developed a CNN-based human detection system deployed on Raspberry Pi for real-time tracking, achieving 15–20 FPS, with image augmentation, optimized pipelines, and evaluated performance using accuracy, precision, and recall metrics.

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