Data Engineering on Azure Databricks & Cloud Storage Setup)

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📍 From Zero to Automated Pipelines in 10 Weeks

Are you ready to go beyond theory and actually build end-to-end data pipelines on the cloud?

Join us for a hands-on workshop where you’ll learn how to design, develop, and automate data engineering workflows using Azure Databricks and Cloud Storage (ADLS/S3).

This isn’t another passive course. You’ll actually build:

A Bronze → Silver → Gold Medallion pipeline.

Delta Tables with real-time upserts, merges, and schema evolution.

Automated ingestion from on-prem sources to ADLS using ADF.

Batch & streaming pipelines with checkpointing and recovery.

CI/CD integration with GitHub Actions for deployment automation.

📍 What You’ll Learn

Setting up Databricks workspaces, clusters, and storage layers.

Delta Lake fundamentals (DDL, DML, MERGE, time travel).

Raw-to-clean data transformation and deduplication at scale.

Orchestrating pipelines across Bronze, Silver, and Gold.

Testing, CI/CD, and automated release strategies.

📍 Who Should Join?

Aspiring Data Engineers wanting to move from local to cloud pipelines.

Data Analysts & Scientists looking to upgrade into engineering roles.

Professionals who want to build job-ready projects for their portfolio.

📍 Outcome

By the end of this workshop, you’ll have built your own production-grade ETL pipeline from raw data ingestion to business-ready tables running entirely on Azure Databricks and cloud storage.

With live expert coaching delivered via Zoom, you receive real-time guidance, feedback, and mentorship throughout your journey.

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