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Unlock the power of data engineering with our Comprehensive Data Engineering with Python and Azure Databricks course. Designed for aspiring data professionals, this course covers essential topics including data transformation, ETL processes, and leveraging Azure Databricks for big data analytics. By the end, you will be able to build robust data pipelines, utilize Python for data manipulation, and apply best practices for cloud-based data solutions. This hands-on program ensures you gain practical experience, preparing you to tackle real-world data challenges confidently. Elevate your career in data engineering and make impactful decisions with the skills you acquire in this comprehensive course!
Purchase This Course
USD
View Fees Breakdown
| Course Fee | 4,500 |
|
Total Fees |
4,500 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Prem Nidhi Sharma
An effective communicator with good analytical, problem-solving, and organizational abilities. I enjoy interacting with people and providing solutions to their needs. I am an expert in making Training a Fun and learning experience.
I am a seasoned Technical Lead with a strong foundation in data engineering and cloud technologies, holding certifications as a Microsoft Certified Data Engineer and Fabric Analytics Engineer. With a robust background as a Database Administrator across both on-premises and Azure cloud environments, I bring deep expertise in enterprise-scale data solutions.
My technical skill set includes hands-on experience with SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS), along with advanced proficiency in Azure Databricks and end-to-end database development. I have successfully designed and implemented complex data architectures and analytics platforms that drive business insights and operational efficiency.
In addition to my technical acumen, I have had the privilege of training and consulting for leading global IT service providers such as HCL, Wipro, Cognizant, and Infosys, helping teams adopt best practices and leverage modern data tools effectively.
I am passionate about building scalable data ecosystems, mentoring cross-functional teams, and delivering innovative solutions that align with strategic business goals.
Comprehensive Data Engineering with Python and Azure Databricks equips professionals with essential skills for data processing, analysis, and pipeline integration, appealing to a wide range of tech-driven individuals.
The Comprehensive Data Engineering with Python and Azure Databricks course equips students with essential skills in data processing, analytics, and engineering using Python and Azure Databricks, enabling effective data-driven decision-making.
