Testimonials
I was 6 months into learning data engineering, had finished a couple of Udemy courses, and had absolutely no idea what to build next. I stumbled across this eBook, and honestly, it changed how I approach my learning. What I loved most is that every project tells you the why — the business problem, the architecture, and the tech stack. I always knew what I was building and why it mattered, which made the whole process feel purposeful instead of random. Thank You!
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DSA for Data Engineers
From LeetCode to Pipelines: The Data Engineer's DSA Playbook
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Data Engineering Project Ideas for Career Growth
Build projects that get you hired — at every level.
About me
I'm a Cloud Data Engineer with 3 years of experience across data engineering, analytics, and software development. M.Tech from IIT Kanpur.
My work spans building ELT pipelines, real-time ingestion platforms, and analytical data models on AWS, Azure, and Snowflake. I design Medallion Architecture data layers, build dbt transformation pipelines, and work across the full modern data stack — from ingestion to reporting.
Before working in data engineering, I worked as a Data Scientist at Agatsa Software, developing deep learning models (CNN-LSTM) for ECG classification and leading a team of 5 engineers. That experience gave me a strong foundation in data quality, structured experimentation, and cross-functional collaboration.
What I work with:
→ Languages: Python, SQL
→ Big Data: PySpark, Apache Spark, Kafka, Batch & Near-Real-Time Processing
→ Cloud: AWS (S3, IAM), Microsoft Azure (ADF, ADLS Gen2, Event Hubs)
→ Warehousing: Snowflake, dbt Core, Medallion Architecture, Star Schema, SCD Type 2
→ DevOps: Git, REST APIs, FastAPI
→ AI/ML: Generative AI, LLM Applications, Deep Learning
While building my own portfolio, I noticed most resources teach you how to use tools — but not which projects to build to get hired. So I wrote Data Engineering Project Ideas for Career Growth — 50+ real-world projects across 5 experience levels, with built-in architecture blueprints, tech stacks, and interview scripts.
I can help you with:
→ Choosing the right projects for your target role
→ Portfolio and GitHub reviews
→ Data engineering interview preparation
→ Tech stack and career direction guidance