Support Arena
Investigate real-world production incidents inspired by enterprise Databricks, Snowflake, and PySpark workflows. Diagnose failures, analyze logs, and resolve engineering incidents under pressure.
Bad / Invalid Records
Production ingestion pipeline detected invalid negative values and null records violating business validation rules.
Schema Mismatch Incident
Source file schema changed unexpectedly causing downstream Databricks ingestion failure.
Missing Source File
Daily partition file was not delivered on time causing SLA delays in reporting pipelines.
Duplicate Data Load
Retry mechanism triggered duplicate ingestion causing duplicate reporting metrics in Snowflake.
Failed Upsert / Merge
Merge operation failed due to conflicting keys and transactional inconsistencies.
Data Skew Investigation
Spark job suffering severe skew causing executor memory failures and long runtimes.
Dependency Conflict
Runtime upgrade introduced incompatible package dependencies breaking ETL jobs.
Job Timeout Incident
Large production ETL pipeline exceeded SLA due to poor optimization and cluster bottlenecks.
Incorrect Configuration
Wrong process date parameter caused incorrect historical partition loading.