Open to opportunities

chandra shekhar

@chandrashekhar2

Message

Skilled software engineer specializing in API development and optimization.

India

Message

What I'm looking for

I am looking for a dynamic environment that fosters innovation and growth, where I can contribute to impactful projects and further develop my skills in software engineering.

I am a dedicated Software Engineer with a strong background in API integration and development, currently working at Knorex. My expertise lies in optimizing performance and reducing costs through innovative solutions. I have successfully developed and integrated APIs for major advertising platforms, ensuring seamless functionality across various channels.

Throughout my career, I have achieved significant improvements in system performance, including a 45% enhancement in API response times and a 30% reduction in media storage costs. My experience extends to designing architectural patterns for version migrations, which has streamlined development processes and increased efficiency. I am passionate about leveraging technology to solve complex problems and drive impactful results.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer II - TPI TEAM

Current

Knorex

Jul 2022 - Present (3 years)

Developed and integrated APIs for major advertising platforms, including LinkedIn Ads, Google Ads, Meta Ads, and Amazon Ads. Optimized media storage database, reducing S3 storage costs by 30% and significantly decreasing media upload times.

Java Spring Boot MongoDB MySQL Apache Kafka Redis AWS Microservices API Integration

Software Engineer

Subex

Jun 2021 - Present (4 years 1 month)

Developed end-to-end features including Azure Source, Azure Sink, and Azure External Table Sink. Enhanced microservices functionalities and orchestrated seamless GIT release cycles for over 30 BMS projects daily.

Java Spring Boot Microservices Apache Kafka Jenkins Docker Kubernetes Azure

Internship

Now Or Never

Dec 2020 - Present (4 years 7 months)

Re-designed the NoSQL schema, resulting in a 30% improvement in database performance. Created new APIs and refactored existing ones, improving their latencies from 540 ms to 210 ms.