Bharath Goriparthi Email & Phone Number

Cleveland, Oh, Us

San Francisco, California, United States

Deployed Databricks on Azure to enable cloud-based machine learning and big data analytics.Developed Spark applications using Pyspark and Spark-SQL for data processing tasks.Oversaw Azure Databricks cluster management, ensuring optimal performance and troubleshooting issues.Utilized Azure PaaS for building data visualization solutions.Designed scalable microservices architecture on Azure Service Fabric.Created efficient data pipelines using Azure Data Factory (ADF V2) for seamless data transfer.Implemented ETL processes across Azure services including Data Lake, Data Warehouse, and Synapse.Integrated machine learning frameworks into Databricks to power AI applications.Leveraged Databricks' capabilities to develop advanced multimodal generative AI models.Demonstrated collaborative teamwork and innovative approaches in AI solutions using Databricks.

Dallas, Texas, United States

- Utilized Azure services including Data Factory, Spark SQL, and Azure Data Lake Analytics for data extraction, transformation, and loading tasks into Azure storage solutions.- Implemented Azure Data Factory V2 to integrate data from diverse sources such as files and databases into Azure Data Lake Storage and Blob Storage.- Managed the migration of SQL databases to Azure platforms like Data Lake, SQL Database, Data Bricks, and SQL Data Warehouse, ensuring secure access and smooth transitions with ADF.- Developed robust pipelines in ADF incorporating Linked Services, Datasets, and Pipelines to facilitate seamless data movement across Azure SQL, Blob storage, and Azure SQL Data Warehouse, prioritizing compatibility and rollback capabilities.- Configured services for on-premise servers and maintained distinct environments (Development, User Acceptance Testing, Production), optimizing the migration of SSIS packages to the cloud with minimal disruptions.- Leveraged Pyspark and Spark SQL for data migration, conversion, and aggregation tasks, designing and managing ETL programs within Python and Spark environments.- Engineered Spark applications using Pyspark and Spark SQL to extract, transform, and aggregate data, tailoring functions to meet specific business requirements.- Created and executed JSON scripts for Azure Data Factory pipelines, collaborated on data modeling initiatives, and conducted data manipulation tasks using DataBrick Notebooks.- Utilized Databricks to optimize Dataframe operations and performance metrics, implementing memory tuning, caching strategies, and advanced join techniques.- Implemented ETL integration patterns using Python within Spark environments, developed stored procedures, managed metadata, and employed tools like BACPAC and Polybase for efficient data migration.- Designed comprehensive reporting layers leveraging Azure Analysis Services and Synapse to effectively handle structured and unstructured data for analytical insights.

Hyderabad, Telangana, India

- Utilized Azure Data Factory, Azure Databricks, T-SQL, and Spark SQL to extract, transform, and load data into Snowflake and Azure Data Storage services.- Managed data input into various Azure services including Azure Data Lake, Azure Storage, Azure SQL, and Azure Data Warehouse, leveraging Azure Databricks for data processing.- Designed and implemented sophisticated distributed systems capable of handling large-scale data processing, metrics collection, and analytics tasks.- Implemented database solutions using Azure SQL Data Warehouse and Azure SQL.- Developed and deployed medium- to large-scale business intelligence solutions on Azure using Azure Data Platform services like Azure SQL Data Warehouse, Azure Data Factory, Azure Data Lake, and Databricks, with expertise in Azure Blob and Data Lake storage technologies.

Master'S Degree, Information Science/Studies

Bachelor'S Degree, Electronics And Communications Engineering