• Work closely with the client and perform requirement analyses and help other team members to understand the ask from the client.
• Create, deploy and monitor the DataFlow to facilitate various ETL activities.
• Write SQL and Python scripts for data transformations as per requirement.
• Create DataStudio and Looker dashboards which are appealing and easy to make proper insights and deploy.
• Acknowledging the tickets raised by different stakeholders and see that they receive timely communication on the progress of their tickets.
• Understand the issues and assign appropriate priority to them.
• Take ownership of some critical deliverables and make sure that they never breach SLA.
• Work on critical issues irrespective of the technology stack involved and close them in time.

• • Work closely with the client and perform requirement analyses and help other team members to understand the ask from the client.
  • Create, deploy and monitor the Azure Pipelines to facilitate various ETL activities.
  • Write SQL and Spark scripts for data transformations as per requirement.
  • Create Power BI dashboards which are appealing and easy to make proper insight and deploy them to Power BI service.
  • Acknowledging the tickets raised by different stakeholders and see that they receive timely communication on the progress of their tickets.
  • Understand the issues and assign appropriate priority to them.
  • Take ownership of some critical deliverables and make sure that they never breach SLA.
  • Work on critical issues irrespective of the technology stack involved and close them in time.

Work closely with the client and perform requirement analyses and help other team members to understand the ask from the client.
• Create, deploy and monitor the data Pipelines to facilitate various ETL activities.
• Write SQL and PySpark scripts for data transformations as per requirement.
• Used AWS services extensively for the day to day activities which involves usage of S3, Redshift, Athena, Glue.
• We used Aginity Workbench to work on Redshift as query editor as it provides more fixability than in house query editor.
• Used both Alteryx and AWS Glue to support the client’s requirements on ETL.
• Acknowledging the tickets raised by different stakeholders and see that they receive timely communication on the progress of their tickets.
• Understand the issues and assign appropriate priority to them.
• Work on critical issues irrespective of the technology stack involved and close them in time.