Azure Data Engineering Mastery Program with Internship & Industry Projects
Step into the future of data with immersive training in Azure Data Factory, Synapse, Databricks, and Data Lake. Develop enterprise-grade pipelines, tackle big data transformations, and gear up for the DP-203 certification—plus gain hands-on experience through internship and placement assistance.
Ideal Candidates for This Program
– Final-year students from any academic discipline
– Graduates of B.Tech, BCA, MCA, and Data Science programs
– Professionals working in ETL, BI, or cloud-based domains
– Newcomers aspiring to become data engineers
– Career changers targeting roles such as Azure Data Engineer, ETL Developer, or Cloud Data Analyst
What You'll Achieve
– Design robust data pipelines using Azure Data Factory to automate and orchestrate seamless data ingestion across cloud environments
– Harness the power of Databricks & Apache Spark to engineer scalable solutions for batch and real-time big data transformations
– Develop high-performance data warehousing solutions by optimizing workloads and architecture within Azure Synapse Analytics
– Manage, classify, and operationalize complex data assets in Azure Data Lake with structured and unstructured storage strategies
– Implement enterprise-grade data compliance and oversight through robust security protocols, proactive monitoring, and governance frameworks
– Achieve certification readiness for DP-203, validating your expertise in end-to-end Azure data engineering on a global professional level
Technologies You Will Master
– Azure Data Factory (ADF)
– Azure Synapse: Dedicated SQL Pools & Integration Pipelines
– Azure Databricks with PySpark & Delta Lake
– Azure Stream Analytics + Event Hubs
– Power BI for interactive dashboards
– Git, Azure DevOps, and CI/CD orchestration for data flows
Curriculum Snapshot
- Overview of Azure Ecosystem & Data Engineering Foundations
- Building Data Ingestion Pipelines with ADF
- Transforming Data at Scale with Databricks (PySpark)
- Data Storage Deep Dive: Data Lake, Blob, and SQL Databases
- Advanced Warehousing with Synapse Analytics
- Real-Time Insights through Stream Analytics
- Securing, Monitoring, and Governing Data Workloads
- Final Project: End-to-End Azure Data Engineering Workflow
Duration & Delivery Format
– Length: 10 to 12 weeks
– Delivery: Online via live sessions + recorded modules
– Availability: Choose from Weekday or Weekend slots
Toolset You'll Use
– Azure Portal, ADF, Synapse, Databricks
– Data Lake, Blob Storage, SQL Server
– Power BI, GitHub, Event Hubs
– Azure DevOps, Python, PySpark
Internship & Capstone Experience
– 4-week professional internship focusing on real-world Azure data pipeline implementation
– Capstone Challenge: Construct a full-scale Azure data engineering system—from ingestion to visualization
Certification Benefits
– Industry-recognized Course Completion Certificate
– Verified Internship Certificate showcasing hands-on expertise
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