Raina Srivastava

Background

About Raina Srivastava

With over 3.5+ years of experience in Azure Data Engineering, I specialize in building and optimizing large-scale data pipelines, ETL workflows, and cloud-based solutions. My expertise lies in leveraging Databricks, PySpark, SQL, and Azure Data Factory (ADF) to streamline data processing and enable insightful analytics.Key Expertise:•Big Data & Cloud: Proficient in Azure Data Lake, Delta Lake, Apache Spark, and Stream Analytics•ETL & Data Pipelines: Expertise in PySpark, SQL, Databricks, and ADF for seamless data transformation•Performance Optimization: Skilled in query tuning, data reliability, and real-time analytics•CI/CD & DevOps: Implementing CI/CD pipelines, Azure DevOps, and automation to enhance efficiency•Collaboration & Leadership: Experience in managing Azure resource migrations and working with stakeholders to deliver business-driven solutionsI am passionate about solving complex data challenges, driving innovation in cloud computing, and optimizing data workflows to create a lasting impact. Always open to exploring new opportunities and emerging technologies in the field of big data and cloud analytics.