Data engineering lead · Helping People Unlock AI
I design and build data platforms that turn raw information into something the business can actually use - reliable data that drives insights and better decisions.
My work sits at the intersection of:
- Data engineering → scalable pipelines, cost-efficient queries, and clear observability
- Platform design → dbt + Airflow/Composer patterns that teams can trust and reuse
- AI empowerment → helping people in any domain see how AI can simplify their work, spark new ideas, and extend their expertise
I believe technology should remove friction, not add it. Whether it’s data systems or AI tools, my goal is always the same: make them simple, practical, and useful so people can focus on what matters most.
- BigQuery cost observability & query-level alerting
- Platform patterns for dbt + Composer (safe deploys, templates)
- Agentic development for data teams (Cursor rules, task automations)
- Data Platform Hub — patterns, templates, runbooks
- BigQuery Cost Observability — alerts + dashboards
- Automation Factory — AI-assisted codegen rules
- GCP Data Engineer
Practical workshops for non-tech folks on GenAI/LLMs, LLMs in production, and Data Engineering (dbt + Airflow + BigQuery).
👉 Full details & reviews: AI Training page