Apache Spark
Spark drills cover the full distributed-compute stack — RDDs, DataFrames, Catalyst optimiser, Structured Streaming, Delta Lake, performance tuning (broadcast joins, skew, AQE), cluster modes (YARN/K8s), and production ops. From L1 PySpark screens at TCS and Infosys to staff-level architecture rounds at Databricks, Uber, Netflix, and Stripe.
What this skill is about
Spark drills cover the full distributed-compute stack — RDDs, DataFrames, Catalyst optimiser, Structured Streaming, Delta Lake, performance tuning (broadcast joins, skew, AQE), cluster modes (YARN/K8s), and production ops. From L1 PySpark screens at TCS and Infosys to staff-level architecture rounds at Databricks, Uber, Netflix, and Stripe.
Topics we drill
- Spark Foundations
- Spark SQL & DataFrames
- Structured Streaming
- Performance & Optimization
- Cluster Modes & Deployment
- Delta Lake
- Spark Tuning & Internals
- Spark Tuning & Internals
- Production & Ops
Why this matters at interviews
Real interviewers don’t just check if you know the syntax — they probe whether you’ve used the concept under production pressure. Our drills mirror that. Adaptive difficulty, named anti-patterns called out as you go, and a senior-staff voice that teaches the production vocabulary rather than dumbing it down.