Azure Data Engineering
SQL, Python, Azure Data Factory, ADLS, Databricks, Delta Lake and Fabric.
View Path →PRACTICAL TECHNOLOGY LEARNING
Practical training, technical blogs and real-world projects for developers and aspiring Data Engineers.
career = "Data Engineer"
skills = [
"SQL",
"Python",
"PySpark",
"Azure",
"Databricks",
"Fabric"
]
print("Keep building.")
LEARNING PATHS
Start with fundamentals, then learn by building practical projects.
SQL, Python, Azure Data Factory, ADLS, Databricks, Delta Lake and Fabric.
View Path →DataFrames, transformations, joins, optimization, Delta Lake and production patterns.
View Path →SQL, Power BI, data modeling, DAX and practical analytics projects.
View Path →Practical AI concepts and tools for modern software and data professionals.
View Path →PROJECT-BASED LEARNING
Follow complete projects from raw data to production-ready insights.
Build an end-to-end pipeline using ADLS Gen2, Azure Data Factory, Databricks, PySpark, Delta Lake and Power BI.
Start ProjectTECHNICAL BLOGS
Understand Spark, PySpark and why Data Engineers use distributed processing.
Read article →Understand pipelines, datasets, linked services and Copy Activity.
Coming soon →Understand the lakehouse approach and how Fabric brings analytics together.
Coming soon →ABOUT SKILLPATH
SkillPath is built around practical learning: understand the concept, write the code, build the project, troubleshoot it and explain it.
Our focus is helping freshers, career-gap professionals and working developers build job-relevant technology skills.
STUDENT REGISTRATION
Share a few details and we will help you choose the right learning path for your goals.
STUDENT REGISTRATION
Tell us a little about yourself and choose the learning path you want to build.
The form is not loading? Open it in a new tab.
START YOUR PATH
Join the learning community and get access to courses, projects and free technical resources.
Register as a student