File Conversion & Processing Pipeline (ArqX)
→
Summary
Architected and implemented a deterministic file-processing pipeline using TypeScript and WebAssembly for secure, multi-format file conversion.
Detail-oriented Junior Cloud Engineer with hands-on experience in architecting, deploying, and troubleshooting robust AWS infrastructure (EC2, VPC, IAM, S3). Adept at leveraging Python and CloudFormation for automation, CI/CD, and reliable system design, I am actively pursuing AWS Cloud Practitioner certification. Eager to transition into a Cloud Support or Infrastructure Engineering role, I bring a strong foundation in fault isolation and operational excellence to drive impactful cloud solutions.
AWS (EC2, EBS, EFS, IAM, VPC with subnetting & routing, Route 53, S3, Trusted Advisor, Systems Manager, Lambda, Config, CloudFront, AWS Organizations, Billing, Athena, Elastic Load Balancing, Auto Scaling, SNS, RDS, DynamoDB).
Linux, Bash, Git, CloudFormation (IaC), Security Groups, DNS, Firewalls, Encryption.
Deployment automation with CloudFormation, CI/CD pipelines, Configuration Management with Git, Monitoring & Logging using CloudWatch & CloudTrail.
Python (applied with serverless services like Lambda), AWS CLI, Management Console, GitHub.
AWS Well-Architected Framework, AWS Cloud Adoption Framework, Fault Isolation, Deterministic Processing, Operational Flow Management.
Applied data mining techniques, AWS database services (RDS, DynamoDB), Data-driven insights.
Process-driven accuracy, Clear communication, Collaborative teamwork, Troubleshooting under pressure.
Cloud Engineering Intern – AWS re/Start Programme
Manchester, England, UK
→
Summary
As a Cloud Engineering Intern, designed, deployed, and managed secure, scalable AWS infrastructure solutions, leveraging automation and DevOps practices to optimize system performance and reliability.
Highlights
Architected and deployed highly available, secure, and cost-effective cloud solutions across AWS services including EC2, VPC, S3, IAM, Route 53, Lambda, and CloudFront, adhering to AWS Well-Architected and Cloud Adoption Frameworks.
Engineered Python and AWS CLI automation scripts for infrastructure provisioning, reducing manual deployment efforts by an estimated 30% and minimizing human error.
Implemented robust CI/CD pipelines and Git-based configuration management, streamlining deployment workflows and enhancing system reliability for critical applications.
Configured and administered relational (Amazon RDS) and NoSQL (DynamoDB) databases, ensuring scalability and high performance for data-driven applications.
Orchestrated AWS environments utilizing both the AWS Management Console and AWS CLI to streamline resource management and troubleshooting processes.
Manchester, England, UK
→
Summary
Executed precise inventory management and operational protocols within a fast-paced warehouse environment, ensuring adherence to quality standards and maintaining continuous workflow.
Highlights
Executed inventory management protocols using handheld scanners, consistently achieving zero-defect operational flow by adhering to strict Standard Operating Procedures (SOPs).
Proactively identified and logged exceptions, escalating issues promptly to maintain seamless operational efficiency and prevent disruptions.
Manchester, England, UK
→
Summary
Resolved complex customer inquiries and maintained operational efficiency during high-pressure periods, demonstrating strong problem-solving and collaboration skills.
Highlights
Resolved an average of 50+ complex customer inquiries daily during peak periods, maintaining high customer satisfaction through structured workflows and effective communication.
Collaborated effectively with cross-functional teams to troubleshoot and resolve issues, contributing to a 15% improvement in overall team efficiency.
Kitchen Assistant
Manchester, England, UK
→
Summary
Maintained stringent hygiene standards and operational efficiency in a dynamic kitchen environment, ensuring smooth service delivery during peak times.
Highlights
Adhered rigorously to strict hygiene and safety procedures, contributing to a consistently compliant and safe kitchen environment.
Maintained high performance and accuracy during peak operational periods, supporting efficient service delivery in a small team setting.
→
Summary
Architected and implemented a deterministic file-processing pipeline using TypeScript and WebAssembly for secure, multi-format file conversion.
→
Summary
Developed a local-first web application featuring structured data storage, optimized search, and resilient error handling using TypeScript, Python, and PostgreSQL.
→
Summary
Automated the normalization of inconsistent media metadata across large datasets with a batch-renaming tool in JavaScript, ensuring deterministic processing.
Issued By
Amazon Web Services (AWS)