Priyanka Kuntla

Developed end to end ETL pipelines in Azure Databricks, processing and transforming datasets.

• Created reusable SQL views and stored them in Catalog, Integrating with Power BI for daily refresh

and reporting.

• Designed and implemented Apache Airflow DAGs fortriggering of data pipelines and Databricks jobs

by using service principle and Managed Identities.

• Create mount points to access azure data lake storage(ADLS 2) or azure blob storage account in

azure databricks.

• Create secret scope authentication in azure databricks by using azure key valut.

• Excellent knowledge of ADF building components like Integration Runtime, Linked Services,

Datasets.

• Moving different types of data from on-premises or different sources into two or more

application to load data from source to raw, raw to defined, defined to staging and staging to

dimension layers.

• Setup alerts for failed activities in pipeline and databricks jobs by using azure monitor alerts

and logic apps.

• Sending Email alerts when pipeline fails orany files added, deleted in the Blob storage account

using Azure Logic Apps.

• Familiar with various Azure storage services like Azure Blob storage, Azure Data lake and

Azure data lake Gen storage.

• In Databricks executed projects with incremental loading strategies, including the use of

Autoloader for seamless data ingestion and real-timeupdates.

• Proficient in SQL scripting, debugging and performance tuning that reduced 30% of runtime in

production environments.

• Worked with peers from various functional areas to define IT wide processes like code reviews,

unit test documentation and knowledge sharing sessions.

• Familiar with Agile methodologies, including Scrum and Scaled Agile.

• Collaborated with international clients and multidisciplinary teams, interacting with Dutch

clients frequently.

• Proficient in developing and enhancing HANA modeling using web IDE
• Developed and implemented calculation views
• Configured modelling functions
• Utilize SQL and SQL Script Models to optimize work efficiency
• Optimized model performance
• Managed and administered various models efficiently
• Provisioned data to SAP HANA
• Utilized Azure board to facilitate efficient pipeline deployment
• Demonstrated proficiency in utilizing AFO for accessing view data

• Collaborated with the Deep Mind team on IHAL project
• Enhanced understanding for robots through task-specific inputs
• Collaborated on tasks involving dual agent interaction and human agent multi-interaction