Tell me about your most recent project. Who was the end client? What business problem were you solving? How large was the team? What did you remove?

My most recent project was a SaaS analytics dashboard for a Fortune 500 retail client. The business problem was that executives lacked real‑time visibility into customer churn and sales trends, leading to delayed decision‑making. The team consisted of eight engineers, a product manager, and a UX designer. We identified that the legacy reporting tools were slow, outdated, and not scalable. I led the effort to remove the legacy ETL pipeline and replace it with a real‑time data pipeline using Kafka for ingestion and Spark for processing. We also migrated the front‑end to a React‑based single‑page application with dynamic visualizations. The result was a 60% reduction in data refresh time, a 30% increase in user adoption, and a measurable improvement in the client’s ability to act on insights within hours instead of days.