Cloud Engineer

HTC Global Services | February 2022 - Till Now

• Developed a high-availability API on AWS as part of a modernization project transitioning from mainframe to AWS, utilizing API Gateway (private endpoint) to integrate a private Lambda and DynamoDB for backend operations.
• Implemented disaster recovery (DR) across two regions, deploying API Gateway, Lambda functions, and load balancers in each region and using DynamoDB Global Tables for cross-region data replication.
• Configured Route 53 failover routing with a multi-region load balancer setup and health checks for seamless traffic redirection to healthy endpoints in the event of failure.
• Automated API health monitoring with EventBridge-triggered Lambda functions, which conducted health checks via DynamoDB scans and activated CloudWatch alarms based on API responses.
• Streamlined DR failover process by integrating Route 53 health checks with CloudWatch alarms, ensuring minimal downtime and consistent API availability for end-users.
• Created AWS resources using reusable Terraform modules designed for modular consumption, incorporating custom templates for specific services, all stored in GitLab to ensure accessibility across projects.
• Leveraged a GitLab CI/CD pipeline integrated with Scalr for Terraform state management, utilized Terratest for automated infrastructure code validation, and implemented security compliance checks using Sync Scan and LabLooter, alongside a Pytest stage for unit testing Python code deployed in AWS Lambda functions.

• Executed end-to-end data migration from DB2 to DynamoDB, leveraging AWS Transfer Service, S3, Glue, and VPC Endpoint for secure operations.
• Configured AWS Transfer Service with VPC Endpoint to enable private, efficient data transfers to S3.
• Performed ETL with AWS Glue to transform and prepare DB2 data for seamless integration with DynamoDB.
• Enhanced data security and integrity throughout the migration, ensuring compliance with best practices.
• Optimized DynamoDB setup post-migration, enabling fast, reliable data access for application needs.
• Deployed all AWS resources using modular Terraform code, creating reusable modules and templates stored in GitLab for easy cross-project use. The GitLab pipeline utilized Scalr for Terraform state file handling and incorporated Terratest for code validation.
• Integrated continuous security checks with Sync Scan and LabLooter in the pipeline stages, and added a Pytest stage to validate the Python code used in AWS Glue.

• Developed Python code for AWS Lambda functions to support API operations, structuring code into modular files to streamline execution and ensure only necessary code runs.
• Implemented robust input validation and comprehensive exception handling, adhering to best practices and standardized naming conventions to improve code readability and maintainability.
• Optimized Lambda performance by minimizing execution time and memory usage, ensuring efficient resource utilization.
• Designed and implemented unit tests with Pytest to validate code functionality, improving reliability and enabling continuous integration with automated testing in the pipeline.
• Created High-Level Design (HLD), Low-Level Design (LLD), and component specification documents to detail the architecture, design considerations, and component specifics, enhancing project clarity and support for future development.

• Collaborated on migrating a .NET application and SQL Server database from Atos Cloud to AWS.
• Analyzed infrastructure and defined migration requirements with the team.
• Configured AWS services, including EC2 for application hosting and RDS for SQL Server.
• Installed necessary software and dependencies, ensuring compatibility.
• Supported testing to validate functionality and performance post-migration.
• Delivered solutions tailored to stakeholder needs, addressing migration challenges.

Network Infrastructure Design

Accenture | MARCH 2020 - OCTOBER 2021

• Utilized the INCA tool to strategically design fiber cable placements across Denmark.
• Developed accurate network maps by referencing legacy copper cable layouts, transitioning the design from copper to modern fiber infrastructure.
• Ensured optimized internet infrastructure to support advanced connectivity needs by leveraging geographic data and existing network schematics.

Bachelor Degree

K.C.S Kasi Nadar College Of Arts & Science | 2016 - 2019

B.SC (Computer Science) Percentage - 56 %
Chennai - 21

High School

Sagaya Matha Matriculation Hr Sec School | 2015 - 2016

HSC Percentage - 55 %
Chennai - 57

School

Sagaya Matha Matriculation Hr Sec School | 2013 - 2014

SSLC Percentage - 69 %
Chennai - 57