I will teach pyspark from beginner to advanced industry ready hands on training

Want to work with big data like real data engineers? I provide step-by-step PySpark training with a clear roadmap, hands-on examples, and real-world use cases used in production systems.

PySpark Learning Roadmap (Beginner Advanced)

1. Basics

PySpark overview, Spark architecture (Driver & Executors), SparkSession, RDD vs DataFrame

Goal: Understand how Spark works

2. DataFrames & I/O

Create DataFrames, schema, read/write CSV, JSON, Parquet

Goal: Load and view data

3. Core Operations

select, filter, withColumn, groupBy, joins, aggregations

Goal: Transform data confidently

4. PySpark SQL

Temp views, SQL queries, DataFrame vs SQL API

Goal: Analyze big data using SQL

5. Performance Optimization

Partitioning, cache/persist, broadcast joins, shuffle basics

Goal: Write fast and efficient jobs

6. Advanced PySpark

Window functions, UDFs, handling nested/JSON data

Goal: Solve complex data problems

7. Cloud & Integration

PySpark with AWS S3, Snowflake integration

Goal: Build real pipelines

8. Real-World Practice

ETL pipelines, data validation, interview prep

Final Goal: Become a job-ready PySpark Data Engineer