Pipeline Architects: Data Engineering to Lakehouse
About this course
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.
63/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Map data flows and ingestion from various sources
- Build and transform modular data pipelines
- Implement historical tracking and data lake transactions
- Automate workflows using Apache Airflow
- Unify data through SQL MERGE reconciliation
Course objectives
- Develop production-ready data engineering skills
- Master the full data engineering stack
- Learn to work with industry-standard tools
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
More courses like this
Udemy
edX
Coursera
Household Surveys for Program Evaluation in LMICs
Johns Hopkins University · MOOC / Non-credit
Compared on these lists
Where this course ranks against the alternatives.