10/02/2025 updated
RP
100 % available
Senior Full Stack Developer | AWS, React, NextJs, Node, Python | 14+ Years Of Experience
Nadia, India
Worldwide
BSc MathematicsAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3AutomationDatabasesContinuous IntegrationAmazon DynamoDBIdentity ManagementInfrastructure ManagementPython (Programming Language)PostgreSQLMicrosoft Message QueuingMySQLNode.jsNoSQL
As an AWS Serverless Technology Professional and Expert Developer, I specialize in creating scalable, secure, and cost-efficient cloud solutions using AWS services. With extensive experience in Amazon Q, AWS Lambda, API Gateway, DynamoDB, and the Server less Framework.
I transform complex requirements into seamless and robust applications. For instance, I recently developed a server less web application for a client, utilizing Amazon Q, AWS Lambda and API Gateway to create a highly scalable backend, and DynamoDB for a flexible, no-SQL database. Another project involved migrating a legacy system to a serverless architecture, resulting in a 50% reduction in operational costs and improved performance. I am dedicated to continuous learning and improving my skills to better serve my clients. I am here to help you achieve your project goals with precision and care.
- Amazon q, AWS BedRock, Amplify, CDK, AWS Lambda, Lambda Resolver, Lambda Concurrency, ESC, Fargate - CI /CD - AppSync, GraphQL - No SQL: DynamoDB, - RDS: Aurora, Postgres, Mysql - AWS EBS - AWS S3 - AWS Cognito( federated identities: Okta, Microsoft AD, SSO, Google, Facebook, Apple) - AWS Ec2, VPC - AWS Load Balancing - AWS Cloud Watch - AWS Autoscaling - AWS IAM - AWS SQS, SNS - AWS Route 53 - SAM
Use Cases:
Serverless Web Application: Developed a serverless web application for a client using AWS Lambda and API Gateway for a highly scalable backend, and DynamoDB for a flexible, no-SQL database. Legacy System Migration: Migrated a legacy system to a serverless architecture, resulting in a 50% reduction in operational costs and improved performance.
Real-Time Data Processing: Implemented a real-time data processing pipeline with AWS Kinesis, Lambda, and S3, enabling the client to process and analyze streaming data efficiently. Automated Infrastructure: Created automated CI/CD pipelines using AWS CodePipeline and CodeBuild, significantly speeding up the deployment process and reducing manual errors.
Experience
Professional experience10+ years
Freelancer since2009
Languages
EnglishFluent