Amin Al-Ait

Automotive

Helped build and deliver a cloud-native data analysis platform for an 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.

• Engineered, maintained, and monitored multiple ETL pipelines that processed 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.
• Built an automated compliance tool that audits every third-party dependency across the stack (Poetry, npm, yarn, yum) for the copyright and licence artefacts its licence requires, raising licence compliance from 65% to 98%.
• Used privacy-compliant GenAI and LLM tooling daily across the data-engineering workflow: reverse-engineering undocumented binary formats, generating and refactoring pipeline code, and speeding up exploratory data analysis.

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.