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I am a software engineer with 4+ years of experience delivering Java-based backend services for regulated, data-intensive platforms. I specialize in Java, Spring Boot, REST APIs, security (OAuth2/JWT), Apache Kafka, and AWS, supporting millions of transactional records across multiple enterprise system integrations in Agile teams. In my prior roles at KPMG and Robosoft Technologies, I designed and implemented microservices, optimized database and API performance, built event-driven pipelines, and automated CI/CD workflows to enable reliable, production-grade software delivered through cross-functional squads.…I am a software engineer with 4+ years of experience delivering Java-based backend services for regulated, data-intensive platforms. I specialize in Java, Spring Boot, REST APIs, security (OAuth2/JWT), Apache Kafka, and AWS, supporting millions of transactional records across multiple enterprise system integrations in Agile teams. In my prior roles at KPMG and Robosoft Technologies, I designed and implemented microservices, optimized database and API performance, built event-driven pipelines, and automated CI/CD workflows to enable reliable, production-grade software delivered through cross-functional squads.

Abhishek Saraswat

Full Stack Developer, Back-End Developer, Front-End Developer, +6

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I am a software engineer with 4+ years of experience delivering Java-based backend services for regulated, data-intensive platforms. I specialize in Java, Spring Boot, REST APIs, security (OAuth2/JWT), Apache Kafka, and AWS, supporting millions of transactional records across multiple enterprise system integrations in Agile teams. In my prior roles at KPMG and Robosoft Technologies, I designed and implemented microservices, optimized database and API performance, built event-driven pipelines, and automated CI/CD workflows to enable reliable, production-grade software delivered through cross-functional squads.…I am a software engineer with 4+ years of experience delivering Java-based backend services for regulated, data-intensive platforms. I specialize in Java, Spring Boot, REST APIs, security (OAuth2/JWT), Apache Kafka, and AWS, supporting millions of transactional records across multiple enterprise system integrations in Agile teams. In my prior roles at KPMG and Robosoft Technologies, I designed and implemented microservices, optimized database and API performance, built event-driven pipelines, and automated CI/CD workflows to enable reliable, production-grade software delivered through cross-functional squads.

Available to hire

I am a software engineer with 4+ years of experience delivering Java-based backend services for regulated, data-intensive platforms. I specialize in Java, Spring Boot, REST APIs, security (OAuth2/JWT), Apache Kafka, and AWS, supporting millions of transactional records across multiple enterprise system integrations in Agile teams.

In my prior roles at KPMG and Robosoft Technologies, I designed and implemented microservices, optimized database and API performance, built event-driven pipelines, and automated CI/CD workflows to enable reliable, production-grade software delivered through cross-functional squads.

Skills

Experience Level

Expert

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Expert

Expert

Intermediate

Language

Javanese

Fluent

Work Experience

Software Engineer at KPMG

March 1, 2022 - July 31, 2023

Architected and owned Java, Spring Boot microservices supporting audit and compliance workflows, leveraging Hibernate, Spring Data JPA, PostgreSQL to process 4M+ regulated transactions across multi-entity enterprise client environments. Engineered secure REST APIs using Spring Security, OAuth 2, JWT enabling 18 internal system integrations while enforcing fine-grained access control policies for regulated audit data. Optimized database interaction layers by refactoring JDBC queries and indexing strategies, reducing batch execution time to 2.4 seconds for high-volume financial reporting workflows. Implemented Apache Kafka producers and consumers to decouple synchronous services, improving system resilience and stabilizing event-driven pipelines handling 120K+ messages per day across distributed backend systems. Automated CI/CD pipelines using Docker, Jenkins, and Maven, deploying services to AWS EC2 and RDS environments while eliminating 11 manual deployment steps and supporting biweekl

Software Engineer at Robosoft Technologies

May 1, 2019 - February 28, 2022

Developed Python-based REST APIs for enterprise workflow systems, integrating PostgreSQL data stores to support 1,300+ internal users across finance and operations platforms. Designed backend service layers and API contracts aligned with SDLC and Agile standards, delivering 9 reusable production components across long-running client-facing applications. Constructed scalable data ingestion pipelines in Python using SQL and PostgreSQL schedulers, processing 2M+ records per month to power downstream analytics and operational reporting workflows. Integrated React-based frontend interfaces using JavaScript, HTML5, CSS3, Bootstrap to complement backend REST APIs, enabling 20+ business stakeholders to access internal dashboards supporting daily decision workflows. Refactored legacy Python automation scripts into structured modules with robust error handling, reducing recurring runtime failures linked to 28 quarterly support incidents across production environments. Instrumented REST API docum

Student Assistant at University of Texas at Arlington

October 1, 2024 - December 31, 2025

Developed and maintained Python-based backend services for campus applications, integrating Azure Functions and REST APIs to support various university departments' data processing needs, enhancing system performance and scalability. Engineered data ingestion pipelines using Python and Azure Data Factory, processing 2,500+ daily records for real-time analytics and ensuring high data integrity. Automated CI/CD workflows with GitHub Actions and Azure DevOps, streamlining deployment processes for backend services and ensuring continuous integration with minimal errors. Developed real-time system monitoring tools leveraging Python and Azure, enabling proactive detection of performance bottlenecks and ensuring high availability and reliability of critical university applications. Optimized SQL queries and data models to improve database performance, reducing query latency and enhancing data retrieval speeds for analytics platforms used by university departments.