Get access to a 100% OFF coupon code for the 'Certified Data Engineering & Pipelines' course by Muhammad Shafiq on Udemy.

This top-rated course holds a 4.3-star rating from 11 reviews and has already helped 2,647 students master essential Other IT & Software skills.

With of expert-led content, presented in English , this course provides comprehensive training to boost your Other IT & Software abilities. Our course details were last updated on January 15, 2026.
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  • Expires on: 2026/01/19
  • Last Update: January 15, 2026
  • Price: 19.99 $ 0 $

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[100% OFF] Coupon Code Certified Data Engineering & Pipelines

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.


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