Prateek Majee

About Prateek Majee

Problem-solver and architect at heart, I bring extensive experience in crafting sophisticated software systems at John Deere India. My core strengths lie in Java, Python, Spring Boot, and Microservices, where I apply deep knowledge of System Design and Design Patterns to create resilient and scalable applications. I\'m proficient in cloud-native development on AWS with Terraform, automating deployments via GitHub Actions and GitHub. Beyond the backend, I also work with React to build intuitive user experiences. My commitment to quality is evident in my dedication to JUnit testing and my expertise in managing data with PostgreSQL and DB2.

Experience

1. Software Engineer

   TEKsystems

   Jul 2024 — Present · Pune, IN

   Led a 5-member engineering team to successfully de-commission legacy IBM DB2 systems, resulting in the migration of high-volume application schemas and transactional data to AWS PostgreSQL RDS and the Enterprise Data Lake. •Architected and implemented high-performance RESTful APIs using Java 17, Spring Boot 3.x, and Spring Data JPA to drive role-based user interfaces and support critical dealer details lookups across multiple business applications. •Modernized legacy ETL processes by designing and deploying scalable Python 3.x data pipelines utilizing key AWS services (Batch, EventBridge, S3) for efficient reporting, data aggregation, and operational batch job execution. •Engineered comprehensive infrastructure-as-code (IaC) using Terraform to provision and manage highly available AWS services (ECS, Lambda, S3, SNS, EventBridge) and developed a custom GitHub Actions CI/CD pipeline for automated, zero-downtime deployment. •Drove cloud adoption by containerizing On-Prem Tomcat applications (Docker/AWS ECR) for deployment on AWS ECS, simultaneously ensuring application integrity and compliance by proactively remediating critical/high security vulnerabilities (Checkmarx, Mend). •Security & Automation: Engineered an automated AWS Lambda-based password rotation strategy for PostgreSQL RDS using Secrets Manager and EventBridge, eliminating manual credential management and ensuring compliance with enterprise security policies. •Observability: Integrated DataDog with Spring MVC applications using Datadog agent to establish comprehensive observability; designed custom monitoring dashboards for real-time tracking of application health, performance metrics, and distributed tracing.•Event-Driven Architecture (POC): Developed a Proof of Concept (POC) using Apache Kafka to architect an event-driven system; successfully implemented message producers and consumers to handle asynchronous data streams, reducing system coupling and improving scalability.

Education

• Asansol Engineering College 108

  Bachelor of Technology - BTech, Information Technology