Pranusha Kasimala

• Expert in designing and developing complex Data Lake to Big data implementations & led different projects and implemented them successfully.
• Expert in tracking and point out delivery risks and help to mitigate such risks and dependencies.
• Expert in identifying gaps in the process and team abilities to help drive the transition of the organization to a scalable, agile and product-centric delivery model.
• Experience in driving and managing data engineering teams of highly skilled people.
• Currently, working as Operations manager for both DataLake and AWS Cloud operations.

• Developed complete end to end Big–data processing in hadoop eco system.

• Developed Spark framework to facilitate setup of datalakes and supporting master projects.

• Developed Spark code using Scala.

• Imported data from different sources like HDFS to Spark RDD.

• Handled adhoc requests to meet the business requirements using Spark Context,SparkSQL,Data Frames,Hive.

• Written extensive Hive queries to do transformations on the data to be used by downstream models.

• Created hive schemas using performance techniques like partitioning.

• Loaded and extracted the data using Sqoop from Oracle into HDFS.

• Used SFTP to transfer and receive the files from various upstream and downstream systems.

• Involved in scheduling the jobs in Automic UC4.

• Used Jira for project tracking, Bug tracking and Project Management.

• Importing of data from various data sources into Hadoop and transform data in flexible ways by using Apache Flume,Kafka.

• Involved in some product business and functional requirements and documentation in Confluence.

• Big Data batch job monitoring.

• Big Data application support.

• Big Data L2 support.

• Big Data application development.

• Coordination with IT operations, architects for Big Data support.

• Transition for Big Data projects towards support.