For Data analysts and BI Developers
Do you possess basic knowledge of Python and SQL?
Elevate your skills to become a Data Engineer, unlocking exciting opportunities and competitive salaries.
For STEM graduates
Are you passionate about learning technology intersecting with data? Do you excel at logical thinking and problem-solving?
My data engineering bootcamp offers an amazing career path that aligns perfectly with your interests. It provides ample opportunities for growth and allows you to fulfill your passion for overcoming challenges.
What you will learn?
In this online coaching hub, you'll find a wealth of resources, on Azure data solutions or engineering which is used by over 30 percent of enterprise organizations and Databricks which is one of the most popular data processing platform in any modern Data Stack
Azure fundamentals
Learn Azure cloud fundamentals
Azure Admin
Azure Networking
Provisioning resources
Databricks Engineering
Learn the essential futures of Databricks
Databricks Delta lake house
Databricks Workflows
Unity Catalog and more
Azure Data Factory
Learn how to create ELT pipelines in Azure Cloud with Data Factory
Learn how to build parameterized workflows
Ingest data from over 100 data sources
I am Nnaemezue Obi-Eyisi, a seasoned data engineer with nearly a decade of experience
I currently serve as a Senior Azure Databricks Data Engineer for the top IT consulting firm Capgemini . My role involves teaching and mentoring students or data analytics enthusiasts to transition into data engineering. Additionally, I provide mentorship and create valuable free content to help beginners and junior engineers enhance their skills through medium blog posts, linkedin post and youtube. I am currently leading the Databricks enablement center of excellence at Capgemini, a consulting company.
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Weekly Topics
Prerequisite:
Laptop
Python and SQL Programming knowledge
Week 1
SQL Review
We will refresh on SQL core concepts using in data engineering like Window functions, CTE, SQL Merge statement, Joins, and solve some complex coding challenges
Week 2
Python Review
We will refresh on python data structures. Solve some problems involving string manipulation and recursion
Week 3
Azure cloud fundamentals
We will learn basics of cloud computing, Azure administration basics, access control and network security.
Week 4
ETL - Azure Data Factory
We will cover basics of Azure data Factory, setting up linked services, data sets, designing full and incremental load using Copy activity
Week 5
Azure Data Factory continued
We will discuss designing metadata driven pipeline, ETL logging, monitoring and error handling. We will discuss version control and ETL optimization
Week 6
Spark fundamentals
We will learn big data fundamentals and distributed architecture basics. Big data file formats and delta lake. Will cover spark architectures,
Week 7
Databricks basics
We will cover some of the most important features of Databricks like Delta Lake house architecture, databricks workflows, unity catalog, and SQL warehouse, Magic commands, databricks architecture. connecting databricks to your data lake
Week 8
Spark programming on Databricks
We will cover Pyspark and SparkSQL fundamentals, Reading and writing files, Querying, filtering, data manipulation.
Week 9
Spark optimization on Databricks
Spark optimization, understanding SparkUI. Debugging slow running job. Databricks delta table tuning best practice
Week 10
Data Warehousing and Data modeling crash course:
We will discuss OLTP vs OLAP, star schema, snowflake schema, One big table, normalization, denormalization, 1-3rd normal form, batch vs streaming, primary key, foreign key
Week 11
Capstone Project: Final week will be mentoring students as they work on the capstone project. The project will be an end to end data engineering project. The goal is to build a metadata driven data pipeline using Azure Data Factory and Databricks to process various files performing full and incremental load into the gold zone in the data lake house
Week 12
Capstone project review, Resume building, Interview prep tips.