Do you have experience using Genie? Also, what is a data lakehouse, how does it differ from a traditional data warehouse architecture, and what role does it play?

Genie is an open‑source data orchestration tool that simplifies ETL pipelines by providing a declarative YAML syntax and a lightweight runtime. It integrates with Spark, Flink, and other engines, making it easier to schedule and monitor data workflows. A data lakehouse combines the storage flexibility of a data lake (object storage like S3) with the schema enforcement, ACID transactions, and performance optimizations of a data warehouse. Unlike a traditional data warehouse that stores curated, structured data in a relational format, a lakehouse stores raw and processed data in a unified repository, often using formats like Delta Lake or Apache Iceberg. This architecture allows data scientists to work with raw data while analysts can query structured tables with SQL engines such as Snowflake or Databricks. The lakehouse reduces data duplication, lowers storage costs, and accelerates time‑to‑insight by enabling both batch and streaming workloads on the same platform.