Available to hire
Hi, I’m Sasi Kumar Rammohan, a Java Full Stack Developer with 3 years of experience in designing and deploying scalable, high-performance applications. I specialize in Java, Spring Boot, Angular, and cloud technologies like AWS and Azure, and I love optimizing systems to improve performance and reliability.
I enjoy working in fast-paced Agile environments, building efficient ETL workflows, and creating responsive user interfaces that enhance user satisfaction. When I’m not coding, I like collaborating with cross-functional teams to deliver solutions that make a real impact.
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Beginner
Language
English
Fluent
Work Experience
Java Full Stack Developer at JP Morgan Chase, USA
May 1, 2024 - PresentDeveloped and maintained scalable Loan Origination System modules using Java, Spring Boot, Angular, and REST APIs, improving application response time by 25% through API optimization. Designed and implemented RESTful microservices with RabbitMQ integration for asynchronous loan processing workflows, reducing credit scoring response time by 30% and improving system reliability. Created responsive role-based dashboards for underwriters and auditors using Angular, TypeScript, and Bootstrap 5, leading to 40% faster decision-making and improved user satisfaction. Optimized SQL queries and developed stored procedures in MySQL for loan application tracking and user management, reducing database query time by 20% through indexing and query tuning. Built CI/CD pipelines using GitHub Actions and Maven, reducing production deployment errors by 15% and increasing deployment speed, while working in an Agile Scrum development environment. Conducted unit and integration testing using JUnit 5, Mockito
Programmer Analyst Trainee at Cognizant Technology Solutions, India
July 31, 2023 - July 10, 2025Spearheaded automation of enterprise-scale ETL pipelines using Informatica and Hadoop, resulting in a 20% increase in data throughput and overall pipeline efficiency. Minimized inquiry volume by 35% through detailed data quality audits and enhanced reporting mechanisms, streamlining support operations and issue resolution processes. Implemented infrastructure optimizations including OS patching and queue tuning, ensuring continuous ETL pipeline performance and achieving key SLA targets without downtime. Partnered with cross-functional global teams to re-engineer Azure Data Factory pipelines, improving delivery speed and workflow maintainability by 15% through architectural refinements.
Azure Intern at Cognizant Technology Solutions, Bangalore, India
July 31, 2022 - July 10, 2025Engineered Spark-based data ingestion frameworks for a global airline client, accelerating data loads across Hive and Sqoop, and improving pipeline efficiency by 30%. Enhanced Azure Data Factory automation workflows, significantly reducing manual configuration errors and streamlining CI/CD deployment cycles for faster production releases. Optimized MySQL and PostgreSQL schemas and queries, improving data warehouse performance and minimizing latency for high-demand analytical workloads. Refined SQL logic and redesigned database schema layouts, decreasing reporting latency by 25% and enhancing query execution speed for business intelligence teams. Automated ETL test scenarios using Python, improving fault detection capabilities and increasing testing coverage by 20% across multiple pipeline stages.
Java Full Stack Developer at JP Morgan Chase, USA
May 1, 2024 - PresentDeveloped and maintained scalable Loan Origination System modules using Java, Spring Boot, Angular, and REST APIs, improving application response time by 25% through API optimization. Designed and implemented RESTful microservices with RabbitMQ integration for asynchronous loan processing workflows, reducing credit scoring response time by 30% and improving system reliability. Created responsive role-based dashboards for underwriters and auditors using Angular, TypeScript, and Bootstrap 5, leading to 40% faster decision-making and improved user satisfaction. Optimized SQL queries and developed stored procedures in MySQL for loan application tracking and user management, reducing database query time by 20% through indexing and query tuning. Built CI/CD pipelines using GitHub Actions and Maven, reducing production deployment errors by 15% and increasing deployment speed, while working in an Agile Scrum development environment. Conducted unit and integration testing using JUnit 5, Mockito
Programmer Analyst Trainee at Cognizant Technology Solutions, India
July 31, 2023 - July 10, 2025Spearheaded automation of enterprise-scale ETL pipelines using Informatica and Hadoop, resulting in a 20% increase in data throughput and overall pipeline efficiency. Minimized inquiry volume by 35% through detailed data quality audits and enhanced reporting mechanisms, streamlining support operations and issue resolution processes. Implemented infrastructure optimizations including OS patching and queue tuning, ensuring continuous ETL pipeline performance and achieving key SLA targets without downtime. Partnered with cross-functional global teams to re-engineer Azure Data Factory pipelines, improving delivery speed and workflow maintainability by 15% through architectural refinements.
Azure Intern at Cognizant Technology Solutions, Bangalore, India
July 31, 2022 - July 10, 2025Engineered Spark-based data ingestion frameworks for a global airline client, accelerating data loads across Hive and Sqoop, and improving pipeline efficiency by 30%. Enhanced Azure Data Factory automation workflows, significantly reducing manual configuration errors and streamlining CI/CD deployment cycles for faster production releases. Optimized MySQL and PostgreSQL schemas and queries, improving data warehouse performance and minimizing latency for high-demand analytical workloads. Refined SQL logic and redesigned database schema layouts, decreasing reporting latency by 25% and enhancing query execution speed for business intelligence teams. Automated ETL test scenarios using Python, improving fault detection capabilities and increasing testing coverage by 20% across multiple pipeline stages.
Education
Master of Science at Harrisburg University of Science and Technology
August 1, 2023 - May 31, 2025Bachelor of Technology at Sri Venkateswara College of Engineering and Technology
July 1, 2018 - May 31, 2022Master of Science at Harrisburg University of Science and Technology
August 1, 2023 - May 31, 2025Bachelor of Technology at Sri Venkateswara College of Engineering and Technology
July 1, 2018 - May 31, 2022Qualifications
Industry Experience
Software & Internet, Financial Services, Healthcare, Professional Services, Computers & Electronics, Travel & Hospitality
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Beginner
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