Vaishnavi, let's start with a brief introduction. Can you give an overview of your total professional experience? What have you worked on from a data engineering perspective? Specifically, what tech stack have you worked with?

S: I joined my first company as a junior data engineer two years after graduation. T: I was tasked with building a data pipeline to ingest streaming sensor data into a data lake. A: I used Apache Kafka for ingestion, Spark Structured Streaming for processing, and stored the results in Delta Lake on S3. I also set up Airflow for orchestration and Grafana for monitoring. R: The pipeline processed 10 million records per day with <5 minutes latency, and the team reduced data processing costs by 30% by optimizing Spark jobs. This experience gave me hands‑on knowledge of Kafka, Spark, Delta Lake, Airflow, and cloud storage, which I continue to use in my current role.