Shruthi V.

Data Engineer with 4 years of experience building Azure-based data platforms using Azure Databricks and Azure Data Factory. I specialize in designing scalable ETL pipelines and implementing Medallion (Bronze–Silver–Gold) architectures to transform raw data into structured, analytics-ready datasets. My work focuses on handling transactional and user activity data, enabling reporting, analytics, and business insights. I have strong hands-on experience in PySpark, Delta Lake, and SQL for large-scale data transformation, along with building efficient data models (both normalized and dimensional). Currently, I work on a digital publishing platform where I design data pipelines, model core business entities, and build curated datasets used for reporting user engagement, subscriptions, and content performance. Key areas I focus on: • Building ETL pipelines using Azure Data Factory • Developing PySpark transformations in Azure Databricks • Implementing Medallion architecture (Bronze, Silver, Gold) • Designing data models for analytics and reporting • Optimizing data processing using Delta Lake I’m currently looking to grow further in data engineering, focusing on building scalable and efficient data platforms.