Our Azure Data Engineering trainer is a certified industry professional with extensive experience in designing and implementing large-scale cloud data solutions. With a strong background in Azure Data Factory, Databricks, Synapse Analytics, and big data architectures, the trainer brings real-world insights into every session.
The trainer has successfully mentored hundreds of learners, helping them transition into data engineering roles across IT services, startups, and enterprise organizations. Known for a practical teaching approach, clear explanations, and career-oriented guidance, the trainer ensures every learner gains confidence, hands-on expertise, and industry-ready skills.
To whom this program/course is suitable?
- This program is designed for IT professionals, including those from support, testing, development, or other IT roles, who want to transition into Azure Data Engineering.
- You don’t need prior Azure experience—our structured curriculum covers everything from basics to advanced tools like ADF, Databricks, PySpark, and SQL, ensuring a smooth learning journey.
What are the key tools and skills covered in this program?
- This program covers all critical tools and skills required to become an Azure Data Engineer:
- Azure Data Factory (ADF): Ingesting, Transformation, Orchestration and automating ETL pipelines.
- Azure Databricks & PySpark: Processing big data and scalable transformations with RDD & Dataframe.
- Microsoft Fabric: Unified analytics platform enabling seamless data integration, analysis, and collaboration.
- Python: Essential for PySpark which is used Azure Databricks.
- SQL: Data extraction, transformations, and optimizations.
- Real-World Projects & Interview Cracking Strategies to help you stand out.
How does the program prepare me for interviews and job opportunities?
We provide:
- Structured interview preparation: Covering commonly asked questions on ADF, Databricks, SQL, PySpark, and Azure architecture.
- Hands-on experience through real-world projects and case studies.
- Resume and LinkedIn optimization: Showcasing relevant projects and certifications to attract recruiters.
- Mock interviews and strategies to crack interviews for top-paying roles.
How much time will it take to transition into an Azure Data Engineering role?
- With our focused 90-day roadmap, you can gain the skills and confidence to apply for Azure Data Engineering roles.
- The exact duration depends on your commitment, but our program includes a mix of theory, hands-on practice, and mentorship, helping you achieve results efficiently.
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