Worked on the apache/spark repository to enhance error handling for CSVOptions, specifically targeting the configuration of line separators in CSV inputs. Addressed a longstanding issue by converting generic IllegalArgumentException instances into user-facing SparkError messages, providing clearer and more actionable diagnostics for users. This change aligned error reporting with Spark’s established framework, improving consistency and reducing troubleshooting time for backend workflows. Utilized Scala and Spark SQL error handling techniques, while expanding test coverage to ensure robust validation of line separator scenarios. The work resulted in improved reliability for CSV ingestion and contributed to a measurable reduction in support and maintenance overhead.