Piyush Nirala

Software Engineer

Pune, Maharashtra, India3 yrs 10 mos experience

Highly Stable

Key Highlights

Increased code coverage from 50% to 85% using JUnit.
Designed Kafka-based architecture ensuring 99% delivery reliability.
Reduced response times by 50% for critical trading platform.

Stackforce AI infers this person is a Fintech Full Stack Developer with expertise in performance optimization and cloud technologies.

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Skills

Core Skills

Azure FunctionsCloud ComputingFull Stack DevelopmentSpring BootTesting FrameworksMessaging SystemsApi DevelopmentPerformance OptimizationBackend DevelopmentReliability Engineering

Other Skills

AWSAlgorithmsAmazon Web Services (AWS)AngularAngularJSApache KafkaAudio IntegrationAzure Cosmos DBAzure Data FactoryC++Cascading Style Sheets (CSS)Cloud FirestoreCode ReviewCollaborative CodingCommunication

About

I am a Software Engineer with expertise in building and optimizing scalable systems. Currently at Microsoft. Previously, I have worked with BNY Mellon. Given 90+ interviews till now, this year. 👨‍💻

Experience

3 yrs 10 mos

Total Experience

3 yrs

Average Tenure

10 mos

Current Experience

Microsoft

Software Developer 2

Aug 2025 – Present · 10 mos · Pune · Remote

Retrieval-Augmented Generation (RAG)Azure FunctionsCloud Computing

Bny mellon

Full Stack Developer

Jul 2022 – Jul 2025 · 3 yrs · Pune

Technical Skills & Achievements
Implemented comprehensive JUnit and Mockito testing framework that increased code coverage from 50% to 85% while reducing SonarQube code smells by 40%
Designed and deployed an event-driven architecture using Kafka messaging for a multi-service email notification system, ensuring 99% delivery reliability with robust retry mechanisms
Engineered a Spring Boot API optimization that reduced response times by 50%, enabling the system to handle 3× more concurrent requests for a critical trading platform
Leadership & Process Improvement
Transformed testing protocols by integrating SonarQube compliance checks early in development, reducing technical debt by 40% and preventing production issues
Executed proactive performance optimization initiative that improved Liquidity DIRECT trading efficiency by 30%, earning recognition from senior leadership
Problem Solving & Customer Impact
Delivered critical backend performance enhancements that decreased page load times by 50%, significantly improving user experience for institutional trading clients
Designed and implemented intelligent retry mechanisms and structured logging that reduced email notification failures by 99% in a high-stakes financial notification system
Balanced technical excellence with business priorities by implementing risk-based testing strategies that maintained quality while meeting strict release timelines