Big Data & Scalable Analytics Mentorship

Get practical mentorship on PySpark, Big Data, ETL pipelines, scalable analytics, & enterprise-level data processing.

Ideal for:

• Data Engineers

• Data Scientists

• Analytics professionals

• Big Data learners

• Working professionals handling large datasets

Topics can include:

• PySpark optimization techniques

• Real-world ETL pipeline design

• Data processing at scale

• Spark performance tuning

• Data engineering best practices

• Production-level analytics workflows

• Hadoop, Databricks & distributed systems

• Telecom-scale analytics use cases

This session focuses on practical industry implementation, debugging approaches, scalability thinking, and efficient problem-solving strategies.