raviaishwarya

Data Engineer with around 3 years of experience building scalable enterprise data platforms and metadata-driven ETL solutions. Designed configurable batch and near real-time data pipelines processing millions of records, optimized Spark workloads to improve performance by 40% while reducing compute costs by 60%, and developed reusable data engineering frameworks that accelerated onboarding and improved data quality. Passionate about building high-performance, cloud-native data solutions using PySpark, SQL, Azure Databricks, Kafka, and Delta Lake. Currently seeking Data Engineer and Senior Data Engineer opportunities focused on distributed systems, big data, and scalable data platforms.