Sowmya B.

WORK HISTORY

EDUCATION

ABOUT SOWMYA B.

I’m a Data Engineer with a strong focus on designing and optimizing scalable data solutions. My expertise lies in SQL,Python,PySpark,Spark,Azure, Databricks, and building end-to-end data pipelines that drive business insights and operational efficiency.At HCSC, I work on developing secure, high-performing ETL/ELT pipelines, integrating clinical data from multiple sources, and leveraging Delta Lake for optimized storage and analytics. I specialize in optimizing data pipelines by reducing processing times, enhancing data quality, and ensuring efficient resource utilization. I also focus on SQL query optimization, tuning complex queries to improve execution times and minimize costs.I automated data workflows using Control-M and Azure Notebooks, streamlining operations and boosting productivity.Previously, at Nationwide, I built and optimized ETL pipelines, reducing data processing times and enhancing data accuracy. Key Expertise. Big Data & ETL Pipelines – Apache Spark, Hadoop, PySpark. Cloud Platforms – Azure Data Factory, AWS S3, Databricks. Data Architecture & Modeling – SQL, PostgreSQL, Data Warehousing. Performance Optimization – Query tuning, indexing, pipeline efficiencyWith hands-on experience in cloud platforms, big data processing, and real-time data solutions, I’m passionate about solving complex data challenges, fine-tuning performance, and exploring new technologies.I’m always open to connecting with fellow data enthusiasts—let’s chat about cloud computing, data engineering, or emerging trends in AI and big data!