Pipeline Architects: Data Engineering to Lakehouse

Raw data sitting in disconnected silos is not a data platform — it is a liability. Building systems that ingest, transform, reconcile, version, & serve data reliably at enterprise scale is what separates engineers who prototype from architects who build infrastructure teams depend on. This program teaches you how to do the latter. Pipeline Architects is an intermediate program designed for data engineers, analytics engineers, & data platform professionals who want to build complete, production-ready data engineering skills. Across ten focused courses, you will master the full data engineering stack: mapping data flows, ingesting from relational databases, streaming platforms & REST APIs, building and transforming modular pipelines, evaluating storage formats, loading warehouses incrementally, implementing SCD2 historical tracking, applying data lake transactions and versioning, building lakehouse architectures, automating workflows with Apache Airflow, and unifying data through SQL MERGE reconciliation and performance tuning. You'll work with industry-standard tools including Python, SQL, Apache Airflow, dbt, Snowflake, Apache Kafka, Airbyte, Delta Lake, Iceberg, and Hudi, applying hands-on techniques to realistic production data engineering scenarios. By the end of the program, you will be equipped to architect, build, & operate data pipelines from raw ingestion through lakehouse delivery with the reliability and performance that modern analytics infrastructure demands.