Thank you. Now let's talk about pipeline experience. Regarding the pipeline on the Jetstar Enterprise Data Platform, was it already in place when you joined? Did you build it, or were you mostly reading from it?

S – When I joined Jetstar, the core data pipeline was already operational, ingesting flight and booking data into our lake. I was tasked with understanding its architecture and contributing to its evolution. T – My goal was to assess the pipeline’s performance, identify bottlenecks, and propose enhancements. A – I started by reviewing the DAG definitions, data schemas, and monitoring dashboards. I then met with the data engineering team to map out data flows and discuss pain points. Based on my findings, I implemented a new partitioning strategy that reduced job runtimes by 30% and added a data quality check that caught 15% more anomalies. I also wrote a Python script to automate the deployment of new pipeline stages. R – The result was a more efficient, reliable pipeline that delivered fresher data to downstream analytics teams, and I gained deep familiarity with Jetstar’s data platform and its tooling.