4 Courses · 115 Hours · Lifetime Access
Master Data Engineering
with Structured Courses
Project-based, production-focused courses built by working data engineers. From PySpark basics to GenAI pipelines — land your next DE role.
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Course Catalog
4 courses, one career goal: Senior Data Engineer
Bestseller
PySpark Mastery
From Zero to Production
Spark ArchitectureDataFrames & RDDsSpark SQL & UDFsStreamingDelta LakePerformance Tuning
✓ Build production Spark jobs
✓ Optimize queries 10x
✓ Pass DE interviews
Popular
Data Engineering Bootcamp
End-to-End Pipeline Engineering
ETL Design PatternsApache AirflowData Qualitydbt TransformationsWarehouse ModelingCI/CD for Pipelines
✓ Design scalable ETL systems
✓ Automate with Airflow
✓ Build dbt models
Most Loved
SQL for Data Engineers
Advanced SQL & Query Optimization
Complex JOINsWindow FunctionsCTEs & RecursionQuery OptimizationSnowflake/BigQuery SQLAnalytical Patterns
✓ Write expert-level SQL
✓ Optimize slow queries
✓ Ace SQL rounds
New
Generative AI for Engineers
RAG, LLMs & AI Agent Pipelines
LLM APIs & PromptingRAG ArchitectureVector DatabasesLangChainAI AgentsProduction Deployment
✓ Build a full RAG system
✓ Deploy AI agents
✓ Integrate LLMs into pipelines
Why PySpark.in Courses?
Project-Based
Every course ends with a capstone project you can put in your portfolio. Real pipelines, real data.
Interview-Focused
Each module maps to real interview questions at top companies like Flipkart, Swiggy, PhonePe.
Always Updated
Curriculum updated quarterly. Delta Lake 3.0, Iceberg, dbt 1.7 — we track what's in production.
Community Support
Private Discord for course members. Ask questions, share projects, get code reviews.