Kiran Oggu

• Design and develop data solutions on the Azure platform.
• Utilize Azure services such as Azure SQL Database, Azure Data Factory, and Azure Databricks.
• Build and optimize data pipelines for scalability, reliability, and performance.
• Collaborate with cross-functional teams to analyze data requirements and design appropriate solutions.
• Perform troubleshooting and optimization of data processes as needed.
• Proficient in Scala programming language for building robust and scalable data processing
• Monitoring data pipelines and systems for performance issues and troubleshooting any issues that arise

• In depth knowledge and experience with various components of the Hadoop ecosystem such as HDFS, MapReduce, YARN, Hive, Spark, HBase.
• Designing and developing data ingestion processes to bring data into Hadoop from various sources. Creating Extract, Transform, Load (ETL) workflows to process and transform raw data into usable formats.
• Optimizing Hadoop jobs and workflows for performance, scalability, and efficiency. Identifying and resolving performance bottlenecks in data processing

Transform raw data into structured formats suitable for analysis or storage using tools like Hive or Spark SQL