Senior Data & Cloud Engineer
Architecting scalable AWS Data Platforms & Computer Vision Systems.
About
I am a backend and data engineer who builds production-grade data and media pipelines for e-commerce. I work heavily with AWS (Lambda, Batch, S3, RDS, SQS, EventBridge), TypeScript/Node.js, Python, and SQL to turn messy vendor data and complex diamond media into reliable, automated systems that directly support business revenue.
Over the past years, I’ve specialized in building and scaling data-intensive platforms for diamond e-commerce. My work lives at the intersection of backend engineering, data engineering, and computer vision. I design pipelines that ingest hundreds of thousands of diamond certificates and v360 media assets, clean and normalize them, run ML and vision models on top, and expose the results through APIs and Shopify storefronts.
Key Strengths
- Designing end-to-end AWS architectures for data and media pipelines
- Working comfortably with both backend code (TypeScript/Python) and SQL/data modeling
- Bridging ML/computer vision prototypes into production systems
- Improving reliability and data quality in messy vendor and e-commerce environments
- Communicating clearly with technical and non-technical stakeholders
Experience
- Architected and delivered end-to-end data pipelines to ingest, normalize, and QA hundreds of thousands of diamond assets daily.
- Optimized cloud costs by building Serverless and Spot Instance (AWS Batch) architectures for heavy computer vision workloads.
- Engineered high-performance Data Warehouses in Snowflake/PostgreSQL, reducing query times for critical business analytics.
- Enabled revenue growth by integrating asset management systems directly with Shopify via robust GraphQL APIs and automation.
- Technical Lead for data and product syncs, driving the roadmap for reliability and data quality initiatives.
- Modernized banking data infrastructure on AWS, migrating legacy workflows to scalable cloud-native solutions.
- Accelerated deployment cycles by implementing CI/CD pipelines and Infrastructure as Code (IaC).
- Democratized data access for business units, designing self-service workflows that turned raw banking data into actionable insights under strict governance.
Technical Skills
Backend
Data
Cloud (AWS)
ML & Computer Vision
E-commerce & Tools
Certifications
Contact
I am generally open to discussing new opportunities, especially in backend/data platform engineering or production ML roles.