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Data Engineering

Advanced data engineering — ETL/ELT, Airflow, Spark, dbt, Iceberg, Delta Lake, streaming with Flink, data quality, Snowflake, BigQuery, and data mesh.

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28 Topics

Data Engineering Overview

Data Pipeline Design

Spark Performance Tuning

dbt — Data Build Tool

dbt Testing and Documentation

Data Lake Architecture

Stream Processing with Kafka

Data Quality with Great Expectations

Data Warehouse Design

Slowly Changing Dimensions

Data Ingestion Patterns

Prefect Orchestration

Data Catalog and Lineage

Snowflake Advanced

BigQuery Advanced

ClickHouse for Analytics

Real-Time Data Pipelines

Data Mesh Architecture

MLOps and Feature Stores

Data Observability

Workflow Orchestration Comparison

Data Engineering Best Practices

Data Engineering Interview Prep