Can you tell me about your work on different projects?

Sure. In my last role at XYZ Corp, I led a cross‑functional team that built a real‑time analytics platform for e‑commerce. The project involved ingesting clickstream data from Kafka, processing it with Spark Structured Streaming, and storing the results in Snowflake for downstream reporting. I was responsible for designing the data model, writing the ETL jobs, and setting up CI/CD pipelines with GitHub Actions. One of the biggest challenges was handling schema drift in the incoming data; I implemented a schema registry and used schema evolution rules to keep the pipeline robust. I also coordinated with the data science team to deliver a recommendation engine that ran on the processed data. The project was delivered on time and reduced the data latency from 24 hours to under 5 minutes, which increased conversion rates by 12%. This experience taught me how to manage complex data pipelines, collaborate across teams, and deliver measurable business value.