Siva Rama Krishna Ponnapalli Email & Phone Number

• Nearly 4 years of experience as an Azure data Engineer in designing, implementing robust data pipelines on Azure using a variety of services, including Azure Data Lake, and Azure Data Warehouse• Experienced in data ingestion using Azure services like Azure Data Factory and Azure Data Flow to seamlessly integrate data from sources such as databases, IoT devices, APIs, and external data providers • Proficient in designing and implementing robust data storage solutions on the Azure platform, leveraging Azure Data Lake Storage, Azure Blob Storage, and Azure SQL Data Warehouse to accommodate structured and unstructured data at scale• Well-versed in implementing end-to-end data integration solutions on the Azure platform, utilizing, Azure Logic Apps, and Azure Service Bus to seamlessly connect and synchronize data across diverse sources• Strong command of Azure data streaming services, such as Azure Stream Analytics and Azure Event Hubs, and skilled in building scalable and fault-tolerant streaming pipelines for handling massive data influx• Orchestrated complex ETL processes using Azure Data Factory, Azure Data Flow, and Azure Databricks to distribute workloads, parallelize data processing, and optimize data pipelines for high throughput• Capable of optimizing PySpark jobs for performance and scalability on Azure Databricks or other Spark clusters and skilled for big data processing, including data ingestion, transformation, and analysis• Successfully integrated SAP HANA and ECC versions, ensuring seamless data flows between SAP systems and Azure services and applied specialized skills in ETL processes to synchronize data between SAP environments and Azure, optimizing data management for streamlined efficiency• Dynamic in SQL and Python to streamline data workflows, performing data extraction, transformation, and loading (ETL) tasks, and generating actionable insights which included database query • Proficient in designing, deploying, and managing NoSQL databases on the Azure platform, including Azure Cosmos DB and Azure Table Storage, to support agile and scalable data storage and retrieval • Versatile in Agile methodologies, such as Scrum and Kanban, to manage project workflow and track progress through visual management tools like Jira and Confluence• Demonstrated strong communication skills to ensure clear and concise communication of project status and issues to stakeholders, including team members and management