Hi, I’m Amber, a Data & AI Engineer at Google, working where data engineering meets AI/ML: RAG pipelines, multi-agent systems, and context engineering that makes LLM answers more accurate. Before Google, I spent years on large-scale data in two very different industries. At ANZ Bank, I built a Data Vault model from scratch on banking transactions, with medallion layers, dbt, Great Expectations and Airflow. At Bunnings, I worked on data in retail. That gives me a view of how data teams actually work in banking, retail and big tech, and what changes when you move between them. I’ve been through enough interviews, the career switches and the “what do I do next?” moments, and I’m happy to share what I’ve learned. I can help with: - Moving into data engineering or AI/ML from analyst, software or non-tech roles. - Resumes, interview prep and mock interviews for data and AI roles across industries. - Navigating big tech vs banking vs retail data careers. - Practical RAG, knowledge bases and adding LLMs to an existing data stack. - Landing your first tech role as an international student in Australia. Not sure where to start? Book the $1 intro call and tell me where you are.