8 Sections
36 Lessons
10 Weeks
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Discover the Career (Introduction)
5
1.1
EA8C13L1 What does a Data Engineer do & why it matters today
1.2
EA8C13L2 The rise of data infrastructure: from ETL to DataOps
1.3
EA8C13L3 Industry overview: Big Data, Cloud, and AI ecosystems
1.4
EA8C13L4 Myths vs. realities of working as a Data Engineer
1.5
EA8C13L5 Future relevance: data pipelines in the age of AI
Is This Career Right for You?
4
2.1
EA8C13L6 Personality fit – who thrives as a Data Engineer
2.2
EA8C13L7 Analytical vs. creative balance in data engineering
2.3
EA8C13L8 Problem-solving mindset & debugging resilience
2.4
EA8C13L9 Common misconceptions and challenges in the field
Your School & Subject Choices
3
3.1
EA8C13L10 What to choose after 10th – subjects & foundation skills
3.2
EA8C13L11 What to choose after 12th – streams, coding foundations, and early exposure
3.3
EA8C13L12 Olympiads, coding bootcamps & competitions that help
Entrance Exams & Admissions
3
4.1
EA8C13L13 Entrance overview — JEE, BITSAT, and global options
4.2
EA8C13L14 Top Colleges & Universities for Data Engineering (India + Abroad)
4.3
EA8C13L15 Scholarships and alternative routes (diplomas, online paths)
Academic Journey & College Life
4
5.1
EA8C13L16 UG & PG Pathways — B.Tech, B.Sc, M.Tech, MS, Data Science majors
5.2
EA8C13L17 Year-by-year subject overview: Programming, Databases, ML, Cloud
5.3
EA8C13L18 Labs, practicals, and real-world data projects
5.4
EA8C13L19 Capstone projects, hackathons, and peer learning
Real-World Experience & Skill Development
6
6.1
EA8C13L20 Internships – where to find them & how to stand out
6.2
EA8C13L21 Core tools & platforms – Python, SQL, Spark, Airflow, Kafka
6.3
EA8C13L22 Cloud platforms – AWS, Azure, GCP data ecosystems
6.4
EA8C13L23 Data modeling, warehousing & pipeline design fundamentals
6.5
EA8C13L24 Communication, documentation & teamwork in data projects
6.6
EA8C13L25 Building your portfolio – GitHub, Kaggle, and open datasets
Career Growth, Roles & Income
6
7.1
EA8C13L26 Entry-level roles – Data Engineer, ETL Developer, Pipeline Engineer
7.2
EA8C13L27 Mid-level growth – Data Architect, Cloud Data Engineer, ML Ops
7.3
EA8C13L28 Senior leadership – Head of Data Engineering, CTO, DataOps Director
7.4
EA8C13L29 Salary insights – India vs. Global, FAANG vs. startups
7.5
EA8C13L30 Freelancing & consulting in data pipelines
7.6
EA8C13L31 Career maps – 5, 10, 20-year trajectories
Future Trends & Your Personal Roadmap
5
8.1
EA8C13L32 How AI, ML, and automation are redefining data engineering
8.2
EA8C13L33 Emerging specializations: DataOps, Streaming Analytics, Real-Time ETL
8.3
EA8C13L34 The impact of generative AI on data workflow design
8.4
EA8C13L35 Building your 5-year action plan – certifications, skills, goals
8.5
EA8C13L36 Related careers – Data Scientist, ML Engineer, Cloud Architect
Data Engineer
Curriculum
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