ARBAZ ESHAN SIDDIQUI

Microservices Design and Implementation:

• Designed and implemented scalable, cost-efficient microservices architecture using Python, AWS Lambda, and API Gateway, resulting in a 40% improvement in system scalability, a 30% reduction in operational costs, a 50% increase in data transfer efficiency, and a 20% decrease in API response times.

Zuora Billing and Revenue Management:

• Leveraged extensive expertise in billing and revenue management using Zuora Billing, playing a key role in the end-to-end integration process from order creation to billing to ensure seamless operations.
• Designed and implemented custom Zuora workflows for diverse billing scenarios and developed automated HTML templates for billing document generation, enhancing accuracy and operational efficiency while reducing manual effort.

Event-Driven Architecture:

• Architected a pub/sub system using AWS SQS and AWS EventBridge to facilitate reliable and asynchronous event-driven communication between services.

Infrastructure as Code:

• Created and managed infrastructure using Terraform, enabling consistent and repeatable infrastructure deployment and management.

CI/CD:

• Containerized microservices using Docker and deployed them on Kubernetes clusters, integrating Jenkins pipelines for automated, scalable, and reliable CI/CD workflows.

Data Migration and Processing:

• Designed and executed AWS Glue jobs for data migration, utilizing Pandas and PySpark to handle large datasets and complex transformations.

Testing and Quality Assurance:

• Developed unit and integration test cases using the Pytest framework to ensure code quality and reliability, while actively participating in code reviews to provide constructive feedback and enforce best practices and coding standards.

Cloud Migration and Automation:

• Played a key role in migrating the core digital transactional platform from on-prem servers to AWS, while creating automated Jenkins jobs and enhancing shell scripts to streamline deployment and operational processes.

Client Solutions and Innovation:

• Developed and implemented personalized client solutions for mission-critical business activities through a cross-environment Business Utility microservice using Python Flask, hosted on the Mesos+Marathon platform with auto-scaling capabilities.
• Created proof of concepts for client innovation tasks, including implementing Augmented Reality on consumer Android applications using Google AR-Core SDK and developing voice-based conversational commerce using Amazon Alexa Skills.

Production Support and Issue Resolution:

• Exhibited excellent triaging skills with application log analysis, addressing business-critical production issues and implementing bug and architecture fixes to mitigate significant revenue losses, some amounting to as much as £1 million per week.

Monitoring and Scripting:

• Devised critical requirements using shell scripting and set up monitoring solutions with Splunk and Datadog to ensure system reliability and performance.