Sri Raj Email and Phone Number

● Overall 10+ years of professional experience as a cloud Engineer, involving project development, testing, deployment on Big data applications, in that 5 years of experience with implementation, in Azure services, and maintenance using Big Data technologies in designing and implementing data analytical solutions using HDFS, Spark, Scala, Python, Yarn, Kafka, PIG, HIVE, SQOOP, Flume, OOZIE, HBase. ● Hands-on experience in Azure cloud worked on Data factory, Databricks, App services, Azure SQL Database, Azure Blob storage, Azure Functions, Virtual machines, Azure AD, Azure Data Factory, event hub and event Queue.● Experience in developing pipelines in spark using Scala and PySpark.● Experience in building ETL data pipelines using Azure Data Factory, leveraging PySpark, Spark SQL.● Extensively worked on Azure Databricks.● Proficient in Azure Data Factory to perform Incremental Loads from Azure SQL DB to Azure Synapse.● Experience in building the Orchestration on Azure Data Factory for scheduling purposes.● Experience working with systems processing event based logs, user logs, etc.● Experience working with Azure Logic APP Integration tool. ● Experience with the Azure logic apps with different triggers● Strong experience in migrating other databases to Snowflake.● Experience with Snowflake Multi - Cluster Warehouses.● Experience in using Snowflake Clone and Time Travel.● Working Experience and developing large scale data pipelines using spark and hive● Implemented Security in Web Applications using Azure and deployed Web Applications to Azure.● Experience working with ARM templets to deploy in production using Azure DevOps● Experience in developing very complex mappings, reusable transformations, sessions, and workflows using Informatica ETL tool to extract data from various sources and load into targets.● Experience in Developing Spark applications using Spark - SQL in Databricks for data extraction, transformation, and aggregation from multiple file formats.● Implemented production scheduling jobs using Control-M, Airflow and IBM Tivoli● Used various file formats like Avro, Parquet, Sequence, JSON, ORC and text for loading data, parsing, gathering, and performing transformations.● Hands on experience on Kafka and Flume to load the log data from multiple sources directly in to HDFS.● Strong experience building data pipelines and performing large-scale data transformations.Sritha Reddy.Phone: 469 708 5017.Email: rsritha6@gmail.com.