Parminder Singh

Azure Data Engineer @Sun Life

CA

Designed and implemented end-to-end ETL pipelines using Azure Data Factory to extract data from multiple sources, transform it using Azure Data bricks, and load it into Azure Synapse Analytics for analytics purposes• Developed and maintained real-time data streaming pipelines using Azure Stream Analytics, enabling instant analysis of streaming data, resulting in faster decision-making• Managed and maintained data pipelines on Azure Data Factory to ensure ecient extraction, transformation, and loading (ETL) processes for diverse data sources• Designed an end-to-end automated deployment pipeline using Azure Services, enabling consistent and reliable deployment of data solutions across multiple environments• Built and maintained data warehouses using Azure Synapse for efficient storage and querying of large datasets and leveraged Snowflake for cloud-native data warehousing solutions• Implemented Azure Data Lake Storage for the efficient storage and organization of vast datasets, guaranteeing data availability and accessibility to support various data-driven initiatives• Implemented data partitioning and storage optimization strategies to reduce costs and improve performance• Developed visualization and dashboard leveraging SQL and Tableau to provide analysis trends along with visualizations for Customer data analytics showing insights to better focus on and improve future revenues using SQL, Python, and Power BI• Utilized Azure Databricks and PySpark for big data processing and advanced analytics and created real-time analytics solutions using Azure Stream Analytics• Collaborated with the other data engineering team to investigate and resolve incidents, minimizing downtime and ensuring continuous data operations

Guru Gobind Singh Indraprastha University

Bachelor of Technology - BTech