Flagstar Bank is a US bank that offers a variety of financial services, including banking, lending, and wealth

management. I develop and optimize full-stack applications with modern web technologies. Lead the design and

implementation of scalable microservices, APIs, and cloud-based solutions.

leveraging buildpacks, Jenkins CI/CD pipelines, and automated administrative tasks.

CSS/Less front-end applications for responsive and interactive web interfaces.

scalability, and orchestration of microservices across environments.

Core Java, supporting high-volume data processing.

integrity checks; designed NoSQL data models with Bloom filters and TTL columns.

and notifications for backend processes with 99.9% reliability.

model deployment, monitoring, and automation of ML workflows.

development in distributed teams.

and compliance with coding standards.

Developed and optimized full stack financial applications using Spring Boot, React, and AWS in a high-volume banking environment.

Tech Stack: Java, Spring Boot, Spring MVC, React.js, Angular, AWS (EC2, S3, Lambda, CloudWatch), Kafka, Docker, Kubernetes, Jenkins, Git, SQL

· Developed and deployed Spring Boot microservices handling high-volume financial transactions, improving system response time by 30% for financial transaction processing systems

· Built responsive UI components using React.js and Angular, enhancing user experience and reducing page load time by 25%

· Developed data processing pipelines using Apache Spark to handle large-scale datasets and improve processing efficiency

· Integrated Apache Spark with Kafka for real-time and batch data processing in distributed systems

· Optimized Spark jobs to reduce processing time and improve performance for high-volume data workflows

· Designed and optimized complex SQL queries and data models, improving query performance and supporting large-scale data processing workflows

· Designed and maintained data pipelines and ETL workflows using Kafka and batch processing

· Implemented data transformation and ingestion pipelines for distributed systems

· Designed and implemented RESTful APIs supporting 50K+ daily requests with high reliability and scalability

· Containerized applications using Docker and Kubernetes, improving deployment efficiency and reducing downtime by 40%

· Integrated Kafka-based event-driven architecture for real-time data processing and notifications

· Automated CI/CD pipelines using Jenkins and GitHub, reducing manual deployment effort by 35%

· Developed batch processing jobs using Core Java and SQL, improving data processing efficiency for large datasets

· Monitored applications using CloudWatch and logging tools, ensuring high availability and quick issue resolution

Crowe Global is a leading, independent professional services network providing accounting, advisory, tax, and risk

services. Build robust backend services using Java, Node.js, or Python, integrating with databases and external

systems.

implementing RESTful APIs that return data in JSON and XML formats.

containers, and Angular Services for modular architecture.

ensuring proper branching, merging, and code review processes.

applications on Kubernetes and Pivotal Cloud Foundry (PCF).

ensuring high availability and fault-tolerant microservices.

process success/failure.

processing and analytics workflows.

defects, and progress.