Available to hire
I’m Pranav Pachpande, a software developer with 3+ years of experience building and optimizing production systems across enterprise IT and US financial services. I’ve delivered scalable Spring Boot microservices, RESTful APIs, and AWS-integrated data pipelines, most recently supporting mortgage underwriting workflows at Freddie Mac, while maintaining strong engineering discipline with test-driven development and cross-functional collaboration.
I thrive in Agile environments and enjoy driving cloud-native transformations to improve reliability and performance. My strengths include backend Java development, cloud integration, data processing pipelines, and mentoring teammates through code reviews and quality-focused practices.
Skills
Experience Level
Expert
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Intermediate
Intermediate
Language
English
Fluent
Work Experience
Software Engineer (Contract) at Freddie Mac
June 1, 2025 - PresentCloud-native Java backend for mortgage underwriting workflows at a top US financial institution. Integrated backend services with AWS components including RDS, Lambda, and API Gateway; containerized with Docker for consistent environment management; enabling scalable and fault-tolerant cloud infrastructure for high-availability financial applications. Built data pipelines supporting mortgage underwriting workflows processing thousands of daily loan transactions, ensuring reliable data flow across distributed systems. Developed and enhanced Java Spring Boot microservices orchestrated on Kubernetes for Freddie Mac's Loan Closing and Loan Quality Advisor platforms, contributing to cloud-native transformation initiatives that improved system reliability by 30% and reduced mean time to resolution (MTTR) on production defects by 20%. Optimized SQL query performance and refactored legacy data access layers using Spring Data JPA, integrating Redis caching to reduce database load and improving
Software Engineer at Tata Consultancy Services
December 1, 2021 - July 1, 2023Production-grade microservices and event-driven pipelines on AWS for enterprise distributed systems. Implemented event-driven architecture with Apache Kafka and AWS S3, incorporating retries and rate limiters to optimize real-time data ingestion and reduce latency by 40%. Engineered and deployed production-grade microservices using Spring Boot, Spring MVC, and J2EE, leveraging Java Streams API and Functional Interfaces to optimize data processing pipelines by 35% across high-throughput distributed services. Configured AWS IAM policies and roles to enforce least-privilege access across distributed services, ensuring secure and compliant cloud infrastructure aligned with least-privilege security principles. Scaled Spring Data JPA + Hibernate persistence layer to handle complex entity relationships across distributed systems and engineered RESTful APIs serving cross-service communication at enterprise scale. Contributed to all phases of SDLC in Agile teams using Git and Jira, configured J
Associate Software Engineer at SmartBear
June 1, 2021 - November 1, 2021Java backend services and REST APIs for a B2B SaaS platform trusted by 16M+ developers. Designed and optimized relational database schemas for backend services, normalizing table structures and implementing indexed queries that reduced query execution time by 22% and supported stable performance under increased data load. Developed and maintained RESTful APIs using Java 17 and Spring Boot, enabling seamless data exchange across 5+ integrated modules and reducing average API response time by 20% through endpoint optimization and payload restructuring. Implemented Spring Data JPA and Hibernate ORM for relational data persistence, writing optimized SQL queries against MySQL and PostgreSQL databases that improved data retrieval performance by 20% and reduced redundant DB calls by 15%. Contributed to unit and integration testing using JUnit and Mockito, achieving 80%+ code coverage across assigned service modules and reducing post-deployment defects by 15% through test-first development pra
Education
Master of Science in Computer Science at Pace University
January 11, 2030 - May 1, 2025Bachelor of Engineering in Computer Science at Mumbai University
January 11, 2030 - June 1, 2021Master of Science in Computer Science at Pace University
January 11, 2030 - May 1, 2025Bachelor of Engineering in Computer Science at Mumbai University
January 11, 2030 - June 1, 2021Qualifications
Industry Experience
Financial Services, Software & Internet, Professional Services
Skills
Experience Level
Expert
Expert
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Intermediate
Intermediate
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