Become a Job-Ready Data Engineer in 3 Months

Transition to Data Engineer in 3 Months is a structured, intensive 12-week program aimed at helping software developers, analysts, or aspiring engineers make a successful shift into the field of data engineering.

The roadmap is divided into weekly modules, starting with core Python and Pandas skills, then advancing to PySpark, MySQL for analytics, AWS Glue, and modern data modeling practices. Learners will also gain experience in building scalable, event-driven architectures using tools like Kafka, Step Functions, and Athena.

Each week includes clear deliverables such as building ETL pipelines, designing data models, or implementing Lakehouse frameworks. By the end of the program, you'll have practical, job-ready experience with tools, techniques, and system design strategies used by modern data teams.

This roadmap emphasises hands-on learning, real-world use cases, and cloud-native best practices — enabling you to confidently step into a Data Engineering role.

How It Works

Weekly Roadmap with Clear Focus

Each week covers a key area (Python, SQL, PySpark, AWS, Data Modelling, etc.) with structured topics and a clear deliverable.

1:1 Mentorship Sessions (Optional or Scheduled)

You’ll have the option to book regular mentorship check-ins where I’ll review your progress, answer doubts, and guide you through challenges.

Hands-on Projects

Every module includes a practical assignment — like building an ETL pipeline, optimising SQL, or implementing a Lake house layer — to solidify your learning.

Feedback and Iteration

Submit your work (code, design, architecture), and I’ll provide actionable feedback. We iterate until you’re confident and clear.

Interview Prep and Portfolio Review (Final Weeks)

Toward the end, I’ll help you package your work into a solid portfolio and prep you with real-world interview scenarios.