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I am a results-driven Software Developer with 3+ years of experience building scalable microservices and real-time financial processing systems. I specialize in backend architectures using Java, Spring Boot, Apache Kafka, and cloud-native DevOps on Azure and AWS. In Agile environments, I deliver high-throughput, audit-compliant solutions that improve risk scoring, compliance workflows, and CI/CD pipelines. In my roles at Freddie Mac and Hexaware, I integrated MISMO XML, credit bureau APIs, KYC checks, and Drools-based rule engines to enable faster decisions and stronger fraud detection. I enjoy solving complex data and system integration problems, instrumenting observability with OpenTelemetry, and implementing regulatory-grade access controls.…I am a results-driven Software Developer with 3+ years of experience building scalable microservices and real-time financial processing systems. I specialize in backend architectures using Java, Spring Boot, Apache Kafka, and cloud-native DevOps on Azure and AWS. In Agile environments, I deliver high-throughput, audit-compliant solutions that improve risk scoring, compliance workflows, and CI/CD pipelines. In my roles at Freddie Mac and Hexaware, I integrated MISMO XML, credit bureau APIs, KYC checks, and Drools-based rule engines to enable faster decisions and stronger fraud detection. I enjoy solving complex data and system integration problems, instrumenting observability with OpenTelemetry, and implementing regulatory-grade access controls.

Abhinav Reddy Gattu

Full Stack Developer, Back-End Developer, Web Developer, +2

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I am a results-driven Software Developer with 3+ years of experience building scalable microservices and real-time financial processing systems. I specialize in backend architectures using Java, Spring Boot, Apache Kafka, and cloud-native DevOps on Azure and AWS. In Agile environments, I deliver high-throughput, audit-compliant solutions that improve risk scoring, compliance workflows, and CI/CD pipelines. In my roles at Freddie Mac and Hexaware, I integrated MISMO XML, credit bureau APIs, KYC checks, and Drools-based rule engines to enable faster decisions and stronger fraud detection. I enjoy solving complex data and system integration problems, instrumenting observability with OpenTelemetry, and implementing regulatory-grade access controls.…I am a results-driven Software Developer with 3+ years of experience building scalable microservices and real-time financial processing systems. I specialize in backend architectures using Java, Spring Boot, Apache Kafka, and cloud-native DevOps on Azure and AWS. In Agile environments, I deliver high-throughput, audit-compliant solutions that improve risk scoring, compliance workflows, and CI/CD pipelines. In my roles at Freddie Mac and Hexaware, I integrated MISMO XML, credit bureau APIs, KYC checks, and Drools-based rule engines to enable faster decisions and stronger fraud detection. I enjoy solving complex data and system integration problems, instrumenting observability with OpenTelemetry, and implementing regulatory-grade access controls.

Available to hire

I am a results-driven Software Developer with 3+ years of experience building scalable microservices and real-time financial processing systems. I specialize in backend architectures using Java, Spring Boot, Apache Kafka, and cloud-native DevOps on Azure and AWS. In Agile environments, I deliver high-throughput, audit-compliant solutions that improve risk scoring, compliance workflows, and CI/CD pipelines.

In my roles at Freddie Mac and Hexaware, I integrated MISMO XML, credit bureau APIs, KYC checks, and Drools-based rule engines to enable faster decisions and stronger fraud detection. I enjoy solving complex data and system integration problems, instrumenting observability with OpenTelemetry, and implementing regulatory-grade access controls.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Software Developer at Freddie Mac

April 1, 2025 - Present

Built income-verification pipelines using Java 21 and Spring Boot 3.x to process MISMO-standard borrower data and extract credit bureau signals from Experian, increasing FICO scoring precision by 19% through optimized API integration and data normalization. Designed event-driven borrower asset validation workflows using Apache Kafka and Spring Cloud, improving verification reliability by 24% and enabling end-to-end audit tracing with OpenTelemetry across microservices. Refactored risk-evaluation microservices with Snowflake data lineage mapping and credit-risk rule alignment, boosting lender decision throughput by 32%. Developed compliant audit-trace workflows integrating Equifax signals, achieving 27% faster audit reconstruction and reducing manual review. Enhanced borrower-assessment rules using JPA/Spring Data and MISMO XML transformations, improving documentation fidelity by 22%. Implemented OAuth2/JWT-secured REST APIs for cross-service data exchange with regulatory-grade access c

Java Developer at Hexaware Technologies

January 1, 2021 - July 1, 2023

Built real-time fraud detection system using Spring Boot microservices, Drools rule engine, and Kafka Streams, improving fraud decision precision by 28% through Redis-backed profiling and real-time merchant-risk feed integration. Developed loan eligibility evaluation pipelines using Hibernate ORM, Apache POI document extraction, and event-driven triggers, improving approval accuracy by 30% with integrated KYC verification, credit bureau score lookups, and audit-compliant document automation. Implemented cross-service transaction validation using Java domain modeling, REST API orchestration, and device-risk scoring, strengthening fraud-response consistency across issuer networks. Improved CI/CD pipeline reliability with Jenkins automation, Docker containerization, and SonarQube static analysis, reducing deployment defects by 25% and improving microservice resilience. Optimized system throughput by tuning SQL query plans, refining Drools rule groups, and adjusting Kafka consumer offsets,