⚡
Presentation
I'm a software engineer with 4+ years of experience at Amazon, specializing in building scalable backend systems and APIs. I've designed RESTful APIs and microservices using Java, Spring Boot, Node.js, and Python, integrated with AWS services like Lambda, DynamoDB, API Gateway, SQS, and SNS. On the frontend, I'm proficient in React, JavaScript, and TypeScript.
My work has supported systems used by thousands of users — from fulfillment center managers to advertisers — with a strong focus on performance, security (GDPR compliance, role-based access control with AWS Cognito), and automation. I also have hands-on experience with Docker, Kubernetes, CI/CD pipelines, and GraphQL.
I'm now available for freelance web development projects and bring a proven track record of delivering reliable, production-grade solutions.
My work has supported systems used by thousands of users — from fulfillment center managers to advertisers — with a strong focus on performance, security (GDPR compliance, role-based access control with AWS Cognito), and automation. I also have hands-on experience with Docker, Kubernetes, CI/CD pipelines, and GraphQL.
I'm now available for freelance web development projects and bring a proven track record of delivering reliable, production-grade solutions.
📋
Background
Software Engineer
Designed and developed RESTful APIs within a microservices-based architecture to comply with GDPR, restricting
access to private notes between 117,000 managers and employees across Europe.
• Designed and implemented an employee badge notification system using AWS services (SQS, Lambda, DynamoDB,
SNS) to track and alert warehouse managers when employees badged in/out, improving visibility and
reducing manual attendance tracking by 90%.
• Developed a Python automation tool to upgrade 5000 EC2 instances to improved specifications, reducing manual
effort, and saving over 40 engineering hours weekly.
• Implemented reprocessing lambdas to automate redriving of failed messages in DLQs which saved an estimated
30 hours per week across all AWS regions
• Implemented aggregation of advertisement data in collaboration with upstream teams, enabling around 54,000
advertisers to evaluate the performance of their ads and optimize their campaigns on the Amazon website
• Implemented secure, role-based access control for an internal application using AWS Cognito and Node.js, supporting
hierarchical user roles (Employees, Managers, HR), enabling fine-grained permissions and safeguarding
sensitive organizational data
• Designed and developed the GetEmployeeInfo API using Java and SpringBoot to retrieve employee data from
DynamoDB via AWS Lambda invoked through API Gateway. This enables more than 82,000 fulfillment center
and corporate managers to quickly view details of their direct reports
• Mentored 2 interns in developing dashboards and a monitoring system for service health, latency, and request
metrics, improving incident detection by 50%.
• Created a Scala script to automate validation of view and click data following the workflow’s migration from a
legacy system
access to private notes between 117,000 managers and employees across Europe.
• Designed and implemented an employee badge notification system using AWS services (SQS, Lambda, DynamoDB,
SNS) to track and alert warehouse managers when employees badged in/out, improving visibility and
reducing manual attendance tracking by 90%.
• Developed a Python automation tool to upgrade 5000 EC2 instances to improved specifications, reducing manual
effort, and saving over 40 engineering hours weekly.
• Implemented reprocessing lambdas to automate redriving of failed messages in DLQs which saved an estimated
30 hours per week across all AWS regions
• Implemented aggregation of advertisement data in collaboration with upstream teams, enabling around 54,000
advertisers to evaluate the performance of their ads and optimize their campaigns on the Amazon website
• Implemented secure, role-based access control for an internal application using AWS Cognito and Node.js, supporting
hierarchical user roles (Employees, Managers, HR), enabling fine-grained permissions and safeguarding
sensitive organizational data
• Designed and developed the GetEmployeeInfo API using Java and SpringBoot to retrieve employee data from
DynamoDB via AWS Lambda invoked through API Gateway. This enables more than 82,000 fulfillment center
and corporate managers to quickly view details of their direct reports
• Mentored 2 interns in developing dashboards and a monitoring system for service health, latency, and request
metrics, improving incident detection by 50%.
• Created a Scala script to automate validation of view and click data following the workflow’s migration from a
legacy system
MS Computer Science
🇬🇧English
🕐
Working hours
Monday
From08h00To18h00
Tuesday
From08h00To18h00
Wednesday
From08h00To18h00
Thursday
From08h00To18h00
Friday
From08h00To18h00
Saturday â–ª Today
Closed
Sunday
Closed
⭐
Reviews
Please sign in as a customer to give your feedback
💬
No reviews yet.
Be the first to share your experience with this professional.