Master Azure Databricks, PySpark, Delta Lake, Azure DevOps, Streaming, Machine Learning & OpenAI with hands-on projects.
🎯 Ideal for aspiring Data Engineers, SQL Developers, BI Professionals & MIS Executives.

Mentor
Dr Sachin Saxena
Sr Data Analyst @MNC | Ex-Sr Software Engineer — Data Scientist
10h+
Video Content
71
Total Lectures
08
Industry Modules
100%
Self-Paced




















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A project-driven curriculum that takes you from fundamentals to production-ready data engineering on Azure.
Foundations of Databricks and modern data engineering concepts.
Azure Databricks workspace setup, clusters and environment configuration.
Notebooks, jobs, workflows and the core building blocks.
Distributed data processing with PySpark and Unity Catalog governance.
Delta tables, schema evolution, time travel and structured streaming.
A complete production-grade Azure data engineering project.
Git integration, pipelines and automated deployments.
Applied ML with MLFlow and Generative AI use cases with OpenAI.
Enterprise-grade Databricks implementation with real workflows.
Scalable big data pipelines using PySpark and Spark SQL.
Streaming, schema enforcement and lakehouse architecture.
CI/CD pipelines, Git integration and deployment automation.
Practical Machine Learning and Generative AI use cases.
Built for professionals preparing for real-world roles.
I'm Dr Sachin Saxena, a dedicated Data Engineer with a deep passion for data science. My career has been shaped by a commitment to mastering data visualization, analysis, and machine learning techniques, enabling me to create designs that are both aesthetically pleasing and insightful.
With proficiency in Python, Power BI, and Tableau, I leverage my creativity and meticulous attention to detail to develop data-driven designs that cater to the diverse needs of clients across various industries.
I am continuously eager to expand my knowledge and stay current with the latest trends and advancements in data science and machine learning. My diverse skill set, combined with a passion for design and technology, makes me a valuable asset to any team aiming to present data-driven insights in a visually compelling manner. My skills are PySpark, Generative AI, NLP, Databricks, Data Engineering, ETL, Azure Data Factory, Artificial Intelligence, Machine Learning, Python, Deep Learning, Computer Vision, advance SQL, Power BI, Statistics, advance Excel
15+
Years Experience
5000+
Students Trained
50+
Enterprise Projects











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