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Kartik Yadav

@kartikyadav

I build scalable backend microservices, data pipelines, and serverless systems using Java, Python, AWS, and ELK.

India
Message

I'm building serverless backend systems at The Grid Solutions, using FastAPI, AWS Lambda, API Gateway, EventBridge, SQS, SNS, and PostgreSQL on AWS RDS to ingest, transform, analyze, and distribute client data.

Previously at Persistent Systems, I developed Spring Boot microservices and real-time data pipelines for a SIEM platform. I transformed multi-source logs for dashboard integration, improved performance with PostgreSQL and Redis, and supported large-scale ingestion with Elasticsearch, Logstash, Kibana, Docker, and JUnit.

I've been recognized with two Bravo team awards and a high-five award, and I bring a clean-architecture, reliability-focused approach to backend engineering.

Experience

Work history, roles, and key accomplishments

TI
Current

Software Engineer

The Grid Solutions, Inc.

Jun 2025 - Present (1 year 2 months)

Implemented Alembic migrations for version-controlled PostgreSQL schema management and built optimized FastAPI endpoints for data ingestion and transformation. Developed AWS EventBridge-triggered background events and deployed serverless backend on AWS Lambda with API Gateway.

Persistent Systems logoPS

Senior Software Engineer

Jul 2024 - May 2025 (10 months)

Developed Spring Boot microservices to aggregate and process multi-source data for a SIEM platform, transforming raw logs for dashboard integration. Optimized performance using PostgreSQL and Redis, automated deployments with Docker, and implemented unit tests with JUnit.

Persistent Systems logoPS

Software Engineer Intern

Jan 2022 - Jun 2022 (5 months)

Built a strong foundation in Java and gained hands-on experience with Microservices architecture.

Education

Degrees, certifications, and relevant coursework

GS

Gyan Ganga Institute of Technology and Sciences

Bachelor of Technology, Computer Science and Engineering

2018 - 2022

Grade: 9.22/10.0

Bachelor of Technology in Computer Science and Engineering with a cumulative GPA of 9.22/10.0.

HI

Higher Secondary School (ISC)

Higher Secondary School, Mathematics and Science

2017 - 2018

Grade: 80.40%

Completed Class XII in Mathematics and Science stream with an aggregate score of 80.40%.

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