- Promoted by: Anonymous
- Platform: Udemy
- Category: Other IT & Software
- Language: English
- Instructor: Muhammad Shafiq
- Duration:
- Student(s): 517
- Rate 0 Of 5 From 0 Votes
- Expires on: 2025/11/08
-
Price:
19.990
Master Airflow, Spark, and Data Lakes to build & deploy robust ETL pipelines on AWS & GCP Cloud.
Unlock your potential with a Free coupon code
for the "Certified Data Engineering & Pipelines" course by Muhammad Shafiq on Udemy.
This course, boasting a 0.0-star rating from 0 reviews
and with 517 enrolled students, provides comprehensive training in Other IT & Software.
Spanning approximately
, this course is delivered in English
and we updated the information on November 04, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
Certified Data Engineering & Pipelines This comprehensive course is designed to take you from foundational concepts to advanced, production-ready data engineering practices. We focus heavily on modern, cloud-native solutions, ensuring you gain hands-on experience deploying and managing complex data pipelines that handle petabytes of data efficiently and reliably.
What Makes This Course Unique? Unlike typical courses, we provide a deep dive into the complete lifecycle of a data project, integrating key tools like Python, SQL, Apache Spark, and leading cloud services (AWS/GCP) within a structured pipeline orchestration framework (Apache Airflow). You won't just learn *what* these tools do, but *how* to integrate them into scalable, industry-standard ETL/ELT solutions. We emphasize best practices for monitoring, error handling, and performance tuning crucial for certification and real-world success.
Core Areas Covered We cover three main pillars: 1. **Pipeline Orchestration (Airflow):** Designing, scheduling, and monitoring complex Directed Acyclic Graphs (DAGs). 2. **Data Processing & Transformation (Spark/Cloud Services):** Mastering distributed computing for massive datasets using PySpark and serverless ETL tools. 3. **Cloud Data Infrastructure:** Building secure and scalable data lakes and data warehouses (S3/GCS, Snowflake/Redshift) using Infrastructure as Code principles. By the end of this certification track, you will have built a portfolio-ready project demonstrating your capability to design, deploy, and maintain robust, high-availability data pipelines, positioning you for top roles in the Data Engineering field.