• Working with Big Data, and Building Web APIs

DevOps Engineer specializing in AWS cloud infrastructures and backend development. I am an expert in designing, building, and maintaining highly scalable server-side solutions with a strong focus on efficiency and industry best practices.

CORE TECHNICAL SKILLS

• Backend Development: Java, Python, JavaScript | Spring Boot, Express.js, Flask, Django

• Databases: MySQL, PostgreSQL, DynamoDB, MariaDB, Redis

• API Development: RESTful architecture and integration

AWS & DEVOPS

• AWS Services: ECS, EC2, S3, Lambda, RDS

• Infrastructure as Code: CloudFormation, AWS CDK, Terraform

• Containerization & Orchestration: Docker, ECS, ECR, EKS

• CI/CD: GitHub Actions, AWS CodePipeline, Jenkins, GitLab CI/CD

• Serverless: AWS Lambda, Step Functions

• Monitoring & Observability: AWS CloudWatch, Grafana, Prometheus

KEY ACHIEVEMENTS:

1. Modernized deployment processes by implementing Jenkins-based CI/CD pipelines with Docker integration, significantly reducing deployment time.

2. Redesigned AWS architecture using Terraform, implementing robust security measures and best practices.

3. Developed cost optimization solutions through resource analysis scripts, identifying and implementing significant cost-saving opportunities

• Provided daily live support and troubleshooting for trading systems, strategies, and market data issues

• Analyzed and resolved application issues thereby improving client satisfaction by 30% and reduction in backlog services by 40%

• Developed automation scripts in python enhancing team efficiency, therefore resulting in less manual work

• Handled client relations for multiple hedge fund clients with assets under management (AUM) exceeding $1 billion

• On-boarded several brokers, including CITI, JPM, Arcesium, and others, for our hedge fund clients onto our OMS.

• Analyzed and created reports using SQL and Pandas scrutinizing trade discrepancies for clients.

• Trained new employees on OMS domain expertise and support standards, increasing team performance

• Developed custom features using Scala into our OMS based on client requirements

• Migrated Cloudformation resources onto Cloudformation Registry using Java, enabling seamless 3rd party integration with Cloudformation.

• Significantly contributed to the successful migration of high-volume AWS resources including AWSCodeDeployApplication, EC2Volume, and IAMInstanceProfile, which are currently utilized by millions of customers.

• Streamlined project documentation, reducing onboarding time from 3 months to just 1 month, enabling faster developer onboarding and project ramp-up.

• Implemented automation scripts that significantly reduced deployment efforts, automated tedious tasks, and streamlined the deployment process, resulting in a notable decrease in manual efforts.

• Successfully led a team of six developers as a tenured consultant on the project, overseeing the seamless migration of High Usage CloudFormation resources onto CloudFormation Registry such as Lamba Resource , and EC2 Resources.

• Apart from my customer work, I also mentored new hires on the team, enabling them to quickly ramp up their skills and contribute effectively to different customer projects.

• Collaborated with an external customer to rewrite AWS CDK constructs from Python to TypeScript

• Leveraged JSII to convert CDK Constructs to other languages, including C and Java, making it easier for the customer to use AWS CDK. Specifically, I rewrote the custom AWS RDS python construct in TypeScript, and then used JSII to convert it to Java and C, significantly reducing

deployment times for the customer’s DBA teams from weeks to minutes.

• Implemented CICD pipelines for the customer, reducing manual deployment efforts and streamlining the deployment process and also developed a Github Actions Template repository helping developers to setup their own CI/CD when deploying applications.

• Our automation efforts resulted in a significant reduction in manual effort

• Also Led Weekly Team meetings increasing team engagement while working remotely