My path into analytics engineering wasn't a straight line. I started out in South Africa, eventually landed in New York City, and along the way worked across engineering, manufacturing, childcare, and hospitality - a varied background that shaped the people-centered approach I bring to every data project.
Today, I’m an analytics engineering consultant at The Information Lab US, currently embedded with a data engineering team at a financial services client. My day-to-day is a mix: building schemas ready for Tableau Cloud and Pulse (with Tableau Next on the horizon), thinking through SCD strategies for already-transformed records, debugging production issues, and stepping in wherever my skills and experience can fill a gap.
Before this, I spent two years as a Tableau and Alteryx consultant focused on turning Workday-sourced HR and people analytics data into reliable, well-documented reporting. I modeled and standardized data, automated transformation workflows, and built Tableau dashboards across employee relations, compensation, HR operations, and risk - always grounded in clear documentation, reusable guides, and analyst enablement, so the value outlasts any single project.
Alongside client work, I'm building a stronger foundation in dbt, AWS, Databricks, and Snowflake. I'm also launching Data Engineering Office Hours at The Information Lab - a new weekly initiative supporting colleagues on their own data engineering journeys, answering questions about my current data engineering consulting work, and sharing real examples of what I do day-to-day, alongside SQL in dbt training and debugging real project challenges as they come up.
I write technical blog posts on analytics engineering - data warehousing fundamentals, modern data pipelines, transformation best practices - and I'm planning to share more of what I'm learning here as I go. If you're navigating a similar path, building reliable data foundations, or just curious about analytics engineering, I'd love to connect.