Strong experience with cloud platforms and services, including: Azure (Data Factory, Data Lake, Event Hub, Functions, Web Apps, Cosmos DB) Databricks with PySpark, Spark SQL, and Scala Spark, including cluster configuration, autoscaling, and performance optimization (e.g., Photon) Snowflake data warehousing, including schema design (star/snowflake), query optimization, and cost/performance tuning. Engineering Practices Advanced knowledge of data pipeline development using Python and experience with languages such as SQL, DAX, Java, Scala, and/or Go Experience performing root-cause analysis and using technology to solve complex business problems.