Amin Al-Ait

Automotive

Led the design and delivery of a cloud-native data analysis platform for a global automotive client, replacing a manual Excel-based process. The platform reduced analysis costs by >50% and time-to-result by >75%, and laid the groundwork for future AI-driven analytics.

• Developed data pipelines processing large datasets with secure, reliable transformations.
• Conducted structured requirements elicitation with client stakeholders to characterise source data formats and business rules, then designed and delivered the corresponding data pipelines.
• Implemented a full ETL Testing Strategy covering the entire Testing Pyramid.
• Managed infrastructure deployment via Terraform across AWS Lambda and ECS.
• Verified end-to-end data integrity from source to persistence layer.
• Owned dependency licence compliance across the full software stack (Poetry, npm, yarn, yum), auditing third-party library licences and verifying that all required copyright notices and attribution terms were satisfied.
• Applied GenAI tooling, operating exclusively on a privacy-compliant model, for LLM-assisted code generation, prompt-driven EDA, and interpretation of complex proprietary data formats.

Sports Tech

Contributed to a mobile running coaching application, building the entire backend from scratch in a small, agile team alongside a professional runner and a frontend developer.

• Developed and owned the complete backend for the running coaching app.
• Implemented GPS data analysis to assess athlete pace and geolocation performance.
• Designed a scalable, cost-effective serverless architecture on AWS.