Data Engineering on Azure Databricks & Cloud Storage Setup)

Join our interactive WhatsApp community [WhatsApp ](https://chat.whatsapp.com/F32KOo2piS8BkCkycOZ3O2?) 📍 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. Follow me on LinkedIn for daily data insights: https://www.linkedin.com/in/joy-onuoha-ebedo-221aa0172?