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Data Engineering

Master SQL, Python, Apache Spark, and cloud data platforms. Build scalable data pipelines for AI applications and earn $115k+.

Data Engineer in 2026

Build the data infrastructure powering AI and analytics

$115k+
Average Salary
60%
Growth by 2026
10
Data Pipeline Projects
4
Cloud Platforms

Data Engineering Master Playlist

Learn data pipelines, SQL optimization, and big data processing with real datasets.

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Modern Data Stack

🗄️
PostgreSQL
🔥
Apache Spark
☁️
Snowflake
🌀
Airflow

12-Week Data Roadmap

Get the Complete Data Roadmap PDF

Includes pipeline designs, SQL cheat sheets, and cloud data platform tutorials.

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Build These Data Pipeline Projects

PROJECT 1

Real-time Analytics Pipeline

Build a pipeline that processes streaming data with Kafka, transforms it with Spark, and loads to a data warehouse.

Kafka Spark Snowflake
View Project Tutorial
PROJECT 2

Data Lake Architecture

Design and implement a data lake on AWS S3 with partitioning, cataloging, and query optimization.

AWS S3 Glue Athena
View Project Tutorial
PROJECT 3

Modern ETL Pipeline with dbt

Build a modern ELT pipeline using dbt for transformation, testing, and documentation on cloud data warehouses.

dbt BigQuery Airflow
View Project Tutorial

Essential Data Certifications

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AWS Data Analytics

Specialty certification for designing and implementing AWS data solutions.

Cloud Data
❄️

Snowflake Certification

SnowPro Core certification for cloud data warehousing and analytics.

Data Cloud
🔥

Databricks Certification

Data Engineer Associate certification for Apache Spark and Databricks.

Big Data
🌀

Apache Airflow

Workflow orchestration certification for data pipeline management.

Orchestration

Build the Data Infrastructure for AI

Every AI application needs robust data pipelines. Learn the skills that power modern data-driven organizations.