Jagtar Singh
About Jagtar Singh
Jagtar Singh is an Azure Data Engineer at Protiviti in Gurugram, Haryana, India, with expertise in developing ETL/ELT pipelines and automation frameworks.
Current Role as Azure Data Engineer
Jagtar Singh is currently employed at Protiviti in Gurugram, Haryana, India. Since 2021, he has been working as an Azure Data Engineer. His role involves developing and managing data pipelines, utilizing tools such as Databricks and Azure Data Factory to ensure seamless data flow and processing. He works closely with various teams, including Customer Service, Data Science, Analytics, and Reporting Teams, to resolve data-related issues and optimize data workflows.
Previous Experience as Power BI Developer
Before joining Protiviti, Jagtar Singh worked at Opallios Inc. in Ludhiana, Punjab, India as a Power BI Developer from 2020 to 2021. During his tenure, he focused on developing and managing business intelligence solutions that provided critical insights for decision-making processes. His experience in Power BI helped him in transforming complex data into accessible and actionable business information.
Consultant Role at Auritas
From 2015 to 2020, Jagtar Singh served as a Consultant at Auritas in Gurugram, Haryana, India. In this role, he leveraged his expertise in data management and analytics to support various client projects. His work involved developing data solutions that were integral to business operations, enhancing the efficiency and effectiveness of data processes.
Development of Orchestration Framework
Jagtar Singh developed an orchestration framework that identifies and triggers dependent pipelines. This framework significantly enhanced automation and efficiency in data processing, ensuring that workflows were smoothly executed and monitored, helping organizations maintain data integrity and streamline their data operations.
Specialization in Azure Data Factory and Key Vault
Jagtar Singh specializes in creating ETL/ELT pipelines using Azure Data Factory, Databricks, and other tools. He is proficient in developing Azure Data Factory triggers, including event-based and scheduled triggers, to automate data workflows. Additionally, he utilizes Azure Key Vault for securing data interactions, ensuring compliance with security protocols and protecting sensitive data.