Pratish Katiyar

Software Engineer

Bengaluru, Karnataka, India3 yrs 9 mos experience

Key Highlights

Expert in building scalable microservices architecture.
Proven track record in optimizing high-frequency trading systems.
Strong background in cloud infrastructure and automation.

Stackforce AI infers this person is a Backend-heavy Fullstack Developer with expertise in Fintech and Cloud Computing.

Contact

Skills

Core Skills

MicroservicesAwsJavaRest Apis

Other Skills

AgileAgile MethodologiesAmazon DynamoDBApache KafkaAutomationC++CI/CDCaffeineCascading Style Sheets (CSS)CloudFormationCompetitive ProgrammingContinuous Delivery (CD)Continuous Integration (CI)Data Structures and AlgorithmsDocker

About

I am a ambitious, hard working, fast learning, Software Developer who believes in completing a project correct way. Always looking forward to new challenges and problems which can be solved innovatively and creatively.

Experience

3 yrs 9 mos

Total Experience

1 yr 3 mos

Average Tenure

Current Experience

Amazon

Software Development Engineer

Oct 2025 – Present · 8 mos · Bengaluru, Karnataka, India · On-site

SDE @ Amazon via PTG
Implemented comprehensive DR infrastructure across Aurora MySQL, S3, Lambda, CloudFormation achieving 75% RTO improvement
Built dynamic persistence layer with AppConfig integration enabling zero-downtime cluster/bucket switching without code deployment
Developed multi-layer fallback strategies with automatic endpoint discovery supporting multi-region DR across Beta/Prod environments
Enhanced Lambda functions with real-time configuration updates and architected Infrastructure-as-Code using CDK
Delivered automated backup solutions with 35-day retention, deletion protection, least-privilege IAM permissions
Optimized database performance through Aurora Serverless v2 upgrade with MySQL 8.0, KMS encryption, comprehensive unit test coverage

JavaMicroservicesSpring BootAWSCloudFormationMySQL+2

People tech group inc

Software Development Engineer

Oct 2025 – Present · 8 mos · Bengaluru, Karnataka, India · On-site

Working for client Amazon via PTG contract payroll

Futures first

Software Engineer

Jan 2023 – May 2025 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

◦ Engineered high-throughput, event-driven microservices using Java 17, Spring Boot 3 and Reactive Streams, optimizing real-time financial metric pipelines and improving latency and computation speed.
◦ Improved low-latency trading systems by processing 10K+ transactions/min using CompletableFuture, custom ExecutorService and thread pools, reducing end-to-end latency through non-blocking parallelism.
◦ Implemented Spring Security 6 with OAuth 2.1 and JWT to secure stateless microservices, enforcing granular access control and safeguarding real-time trading data in high-frequency environments.
◦ Integrated Redis and Caffeine caches in latency-sensitive trading microservices to offload DB reads and accelerate real-time API responses by 45%, ensuring consistent performance under high-frequency market conditions.
◦ Delivered production-ready features maintaining 95% test coverage using JUnit 5, enforced code quality via 50+ PR reviews, and deployed scalable solutions under strict SLAs using Agile Scrum, CI/CD (Jenkins) and Docker.

JavaSpring BootReactive StreamsRedisCaffeineJUnit+3

Cerner corporation

Software Engineer

Nov 2021 – Dec 2022 · 1 yr 1 mo · Bengaluru, Karnataka, India · Remote

◦ Built a RESTful web service enabling seamless data exchange between clients, third parties and insurers.
◦ Automated validation of claims for 100,000+ patients monthly, improving accuracy and processing efficiency.
◦ Implemented multithreading in automation frameworks, reducing job processing time by 35%.
◦ Built and maintained cloud-native microservices using Spring Boot and deployed them on scalable cloud platforms, ensuring high availability and performance.

Spring BootREST APIsMultithreadingAutomationMicroservices

Nykaa

2 roles

QA Engineer

Jul 2021 – Nov 2021 · 4 mos · Gurugram, Haryana, India

◦ Developed features for DWeb, MWeb, and Android apps, and managed deployment through Git-integrated CI/CD pipelines to ensure functionality, stability, and readiness for release
◦ Automated test cases for “Similar With” feature, boosting PDP engagement by 30%
◦ Enhanced the efficiency of regression test suites, decreasing execution time by 25%

GitCI/CDAutomationTesting