IT & Software

DATA ENGINEER MASTER PROGRAM

Master Data Engineering with Cloud + AI + Real Projects—built for students and working professionals.

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Created by Arjun Mehta English 0m 21 lecturesall levels

What you'll learn

Build a strong foundation in data engineering concepts, including data modeling, ETL/ELT, warehousing, and pipeline design.
evelop hands‑on proficiency in Python, SQL, PySpark, and other core engineering tools used in production environments.
Gain end‑to‑end experience across Azure, AWS, and GCP, enabling learners to work confidently in any cloud ecosystem.
Learn to design and orchestrate scalable pipelines using Airflow, Fivetran, dbt, and modern data stack tools.
Understand and implement data warehousing, lakehouse architectures, and real‑time streaming using industry technologies.
Apply DevOps practices such as CI/CD, Docker, Terraform, and version control to automate and deploy data workflows.
Build practical knowledge of AI‑powered and agentic data engineering, including LLM‑based automation, RAG pipelines, and vector databases.
Strengthen skills in data governance, security, lineage, and compliance, ensuring enterprise‑grade data management.
Create a portfolio of mini projects and a capstone project that demonstrates real‑world engineering capabilities to employers.
Prepare learners for roles such as Data Engineer, Cloud Data Engineer, ETL Engineer, Analytics Engineer, and AI Data Engineer through job‑focused training.

Requirements

  • • No prior cloud experience required—Azure, AWS, and GCP are taught from scratch.
  • • No prior data engineering experience needed—the course is beginner‑friendly with master industry‑level.

Description

The Data Engineer Master Program is a, hands‑on training built for anyone who wants to launch or accelerate a career in Data Engineering. The program teaches you how real companies design, build, automate, and scale data pipelines using cloud platforms, modern data stack tools, and AI‑driven workflows. You’ll learn the full data engineering lifecycle—from ingestion to transformation to orchestration to automation—using tools used by top tech companies: Azure, AWS, GCP, Airflow, Fivetran, Snowflake, Databricks, BigQuery, dbt, Kafka, Terraform, and PySpark. Every module includes industry‑grade labs, real datasets, and end‑to‑end projects, ensuring you build a strong portfolio that stands out to recruiters. The program also includes AI & Agentic Data Engineering, giving you the skills to work with LLM‑powered pipelines, vector databases, RAG systems, and AI agents—skills that are rapidly becoming essential in modern data teams. Whether you're a student, a working professional, or a career switcher, this program gives you the clarity, confidence, and hands‑on experience to secure roles such as Data Engineer, Cloud Data Engineer, ETL Engineer, Analytics Engineer, or AI Data Engineer.

Course Curriculum

6 sections • 21 lectures • 0m total length

Phase 1 — Foundation
4 lectures
Week 1 — Introduction to Data Engineering
3m
Week 2 — SQL for Data Engineering
3m
Week 3 — Python for Data Engineering
3m
Week 4 — PySpark for Data Engineering
3m
Phase 2 — Cloud Platforms
4 lectures
Microsoft Azure
0m
AWS
0m
GCP
0m
Data Warehousing & Lakehouse
0m
Phase 3 — Ingestion, Orchestration & DevOps
4 lectures
Fivetran Connectors ELT pipelines Scheduling Transformations Fivetran + dbt Labs: Connect Fivetran to Shopify/HubSpot demo Load into Snowflake/BigQuery Apply transformations
0m
Apache Airflow
0m
dbt (Data Build Tool)
0m
DevOps for Data Engineers
0m
Phase 4 — AI & Agentic Data Engineering
3 lectures
AI for Data Engineers
0m
Agentic Fundamentals
0m
Data Governance & Security
0m
Phase 5 — Projects
2 lectures
Mini Projects (Choose 3) \n1. Airflow + S3 + Redshift ETL \n2. Kafka → Spark → Delta Lake streaming pipeline \n3. dbt transformation project \n4. Azure ADF batch ingestion \n5. BigQuery ELT pipeline \n6. AI‑powered Data Quality Agent
0m
Capstone Projects (Choose 1) \n1. Unified Cloud Data Platform \nMulti‑cloud ingestion \ndbt transformations \nWarehouse + dashboards \n2. Real‑Time Fraud Detection \nKafka ingestion \nSpark streaming \nDelta Lake \nML integration \n3. AI‑Driven Data Engineering Platform \nLLM agent for SQL, monitoring, documentation 4. Modern Data Stack (Fivetran → Snowflake → dbt → Looker)
0m
Career Services
4 lectures
Resume & LinkedIn Profile Building
0m
Mock Interview Preparation
0m
Placement Assistance
0m
One-on-One Career Mentoring Sessions
0m

About the Instructor

A

Arjun Mehta

UX Design Lead with 8+ years in product design. Has designed products used by millions worldwide.