Experience

Designing data and software products, from client needs to production delivery.

• Translate client needs into technical designs and guide engineers through implementation.
• Design secure GCP platforms and support production ML pipelines across infrastructure, IAM, networking, and operations.
• Build data models with dbt and BigQuery, with attention to query performance, access control, and maintainability.

• GCP
• BigQuery
• dbt
• IAM
• ML pipelines

Delivered data platforms and production software for clients across industries, from discovery through operations.

• Built and operated data pipelines with Python, Airflow, dbt, Kafka, and Spark, using BigQuery, ClickHouse, and PostgreSQL.
• Designed and managed infrastructure on AWS, GCP, and Huawei Cloud.
• Built a multi-account AWS platform with IAM Identity Center, hub-and-spoke networking, and Infrastructure as Code, so access and connectivity are managed in one place.
• Built production software for agentic AI, LLM, and RAG use cases, including orchestration, APIs, guardrails, memory, and supporting data pipelines.
• Shaped technical direction, reviewed designs, guided engineers, and taught internal classes on Docker, Airflow, DevSecOps, data engineering, and cloud-native practices.

• Python
• Airflow
• dbt
• Kafka
• Spark
• AWS
• GCP

Connected client discovery, interface design, and backend engineering.

• Worked directly with clients to turn their needs into clear software requirements.
• Contributed to UI design in Figma and a shared design system.
• Built APIs with Django REST Framework and optimized database queries to improve application performance.

• Django REST Framework
• Database optimization
• Figma