Sindhuja Jittaveni

WORK HISTORY

ABOUT SINDHUJA JITTAVENI

Accomplished Sr.Data Engineer with 10+ years of experience in architecting and optimizing high-performance big data solutions. Expertise in leveraging Azure Data Factory, Databricks, and Synapse Analytics to streamline data workflows, reduce operational costs, and drive actionable insights, resulting in improved decision-making and business growth.•Proficient in Azure Data Factory for automating complex ETL workflows, reducing manual intervention, and improving data processing efficiency by orchestrating data movement, transformation, and integration.•Skilled in using Azure Synapse Analytics to manage large datasets, improve reporting, and ensure high-performance querying for faster insights.•Skilled in Azure cloud administration, handling infrastructure provisioning, configuration management, virtual networks and security (RBAC, Azure AD)•Skilled in designing efficient data lakes and optimizing data storage architecture to support complex data extraction, transformation, and loading (ETL) processes.•Expertise in Delta Live Tables (DLT) and Databricks Auto Loader to streamline real-time data ingestion and transformation, ensuring up-to-date insights and reliable data pipelines.•Experienced in implementing data governance and security best practices using Unity Catalog in Databricks, maintaining consistent data access control and compliance across distributed systems.•Strong knowledge of Azure networking technologies, including Virtual Networks, VPN Gateway, and Network Security Groups (NSGs), ensuring secure communication between services.•Proficient in managing scalable data pipelines, automating workflows, and ensuring Data governance to support business-critical applications and analytical solutions.•Adept at deploying and managing Dedicated SQL Pools in Azure Synapse, ensuring optimal performance for large-scale data warehousing operations while minimizing costs.•Experience in implementing disaster recovery solutions using Azure Site Recovery and automating deployments using ARM Templates, Terraform, and PowerShell to streamline operations.•Expertise in scripting and automation using PySpark and Spark SQL within Azure Data Factory and Databricks, streamlining ETL processes, automating data workflows, and ensuring data accuracy for reliable insights.•Strong foundation in Spark, utilizing Pyspark and Spark SQL for real-time data processing and analytics, optimizing scalability and performance for large datasets.