Liz Chan

About Liz Chan

Data Engineer with 11+ years of experience across XFN roles, bridging operational strategy and technical architecture. My career path—from Recruiting Operations to People Analytics into Data Engineering—was a deliberate, non-linear journey. This gave me a unique perspective to master the technical data stack while knowing exactly how the business works. Whether I’m writing code or building team processes, the goal is the same: building modular, reliable systems that enable people to do their best work.I view data engineering as the technical side of process improvement. I take ownership of the domains I support, from complex HR workflows to intricate product flows. If a process seems inefficient, I partner with teams to improve it, using my change management skills to navigate transitions with measurable, data-driven plans.I am looking for roles where technical depth and business acumen are critical. Whether you need an engineer to architect a data foundation, a program manager to untangle a process, or an analyst to translate business logic, I am ready to turn your bottlenecks into assets.Why I bridge People, Process, and Data: I don’t view these domains as separate silos; they are the three levers of a functioning system. My goal is to ensure that no matter the role, I am building for human intent and operational truth- People: I prioritize the humans behind the requirements. I empathy and strong communication which ensures that the solutions I build are intuitive, adopted, and remain under human oversight. As a mentor, I am committed to coaching others who are navigating their own non-linear paths into technical roles- Process: I am a systems thinker. I design modular, scalable workflows that reduce friction and allow stakeholders to stay aligned, even as the business evolves. I believe every micro-decision in a product flow should be intentional and focused on the human interest it serves- Data: I architect durable infrastructure and semantic models that serve as the \"Source of Truth.\" In an era of AI-driven decision-making, I believe this is more critical than ever. I build with a layer of automated checks that allow systems to verify their own logic with the goal of ensuring that our insights are grounded in reality, not AI hallucinations.Technical Expertise- Core Engineering: SQL (Hive, Presto), Python- Systems Thinking: Data Observability, Metric Design, Process Automation- Execution: Change management, cross-functional project leadership, technical documentation, systemic problem solving

Experience

1. Data Engineer, Reality Labs

   Meta

   Aug 2023 — Present

   Building Data Foundations for products to serve historically underserved communities, uphold user data privacy commitments, and improve experiences for accessibility feature users.

Education

• University of California, Berkeley

  Bachelor of Arts (BA), Psychology

  2010 — 2013

Skills

• Newsletters
• Powerpoint
• Microsoft Excel
• Communication Skills
• Greenhouse
• Invoicing
• Administrative Assistance
• Multi-Line Phone
• Recruiting
• Communication
• Organization
• Proofreading
• Jobvite
• Outlook
• Administrative Assistants
• Creative Writing
• Blogging
• Research
• Management
• Team Building
• Social Networking
• Editing
• Google Docs
• Appointment Scheduling
• Event Planning
• Interviews
• Microsoft Office
• Customer Service
• Public Speaking
• Facebook
• Product Costing
• Office Management
• Interviewing
• Social Media
• Leadership
• Microsoft Word