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.

• • 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 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.

Im a part of an analytics team supporting the self-driving car company Waymo (Googles Alphabet company). As a self-driving car, the sensors mounted on it generates a huge load of data, which is helpful to understand the behavior of the car. Our goal is to analyze the issue patterns, their root cause and visualize in DataStudio/Looker.