I will teach data engineering topic pyspark, sql, data warehouse

Looking to learn the latest tools and techniques for data processing, management, and architecture? In this comprehensive course, I will teach you everything you need to know about Batch/Streaming ETL Jobs in the cloud, with a specific focus on AWS and Data bricks. We will dive deep into data processing using PySpark, which is a popular open-source data processing framework used in the cloud. You'll also learn how to build data pipelines using Lake House Architecture, and how to create an ELT data pipeline using DBT (Data Build Tool).

But that's not all! I will also teach you about data quality through Pydeeque, Great Expectation, which are powerful data validation tools. Data modeling is also a key area of focus, specifically Dimension Modelling, which is critical for building robust data architectures. We'll also cover Data Warehousing using popular cloud platforms such as Snowflake, Big Query, and RedShift.

In addition to these topics, you'll also learn about Orchestration using Apache Airflow, AWS Step Function, and how to build data pipelines using AWS Athena, AWS Kinesis, AWS Glue Catalog, and AWS DMS. We'll also cover Data Lake using AWS S3.