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Toronto, On, Ca

Toronto, Ontario, Canada

• Designed and implemented end-to-end data pipelines to support real-time and batch data processing needs• Configured and maintained Azure Blob Storage and Azure Data Lake for structured and unstructured data, ensuring optimal performance and cost-efficiency• Implemented data pipelines to extract, transform, and load data from on-premises and cloud-based data sources to Azure Data Lake• Created and managed data pipelines using Azure Data Factory to automate the integration and transformation of data from various sources into Azure Data Lake Storage• Designed and implemented data warehouses using Azure Synapse Analytics to support business intelligence and reporting needs• Utilized Azure Databricks and PySpark to develop scalable data processing solutions, enabling efficient handling of large datasets and real-time analytics• Integrated data within Snowflake and Cosmos DB, optimizing data retrieval and storage for various applications• Built and managed real-time data ingestion and processing solutions using Azure Event Hubs and Azure Stream Analytics, enabling real-time analytics and insights• Leveraged Power BI to develop interactive dashboards and visualizations, providing stakeholders with actionable insights and enhancing decision-making processes

India

• Diagnosed and resolved data load issues, transformation translation errors, and other data quality problems to ensure the smooth and accurate operation of data warehouse systems• Developed and automated data pipelines using cloud-based solutions such as Azure Data Factory and Databricks, ensuring seamless data integration and transformation• Managed and resolved data load issues, transformation errors, and translation problems, ensuring the smooth operation of ETL processes and timely data availability for business users• Created and maintained robust data storage solutions using Azure Data Lake and Azure Blob Storage to efficiently handle structured and unstructured data, ensuring high availability and reliability• Assessed the data processing needs of various products, translating complex requirements into clear, actionable technical specifications to guide development and ensure alignment with business objectives• Designed and implemented scalable data solutions that supported the company's growth objectives, enabling seamless integration and expansion of data infrastructure to handle increasing data volumes and complexity

India

• Developed complex data pipelines utilizing Azure Data Factory, enhancing the orchestration of data ingestion and transformation processes to support real-time analytics and minimize latency• Implemented scalable data storage solutions using Azure Data Lake Storage and Azure SQL Data Warehouse, ensuring high availability, data integrity, and optimized performance across enterprise-wide projects• Collaborated with cross-functional stakeholders to design and execute advanced ETL workflows, leveraging Azure Databricks for distributed data processing, parallel execution• Proactively monitored, managed, and optimized Azure Synapse Analytics workloads, employing best practices in query tuning, indexing strategies, and partitioning to ensure high-performance data retrieval and storage efficiency• Supported the development of logical and physical data models, managing schema design and facilitating seamless data integration from heterogeneous sources through Azure Data Factory’s Mapping Data Flows• Executed comprehensive data quality assessments and validation procedures using Azure Data Catalog and Azure Data Studio, enhancing data governance, lineage tracking, and improving overall dataset

Bachelor Of Technology - Btech, Computer Science

Master'S Degree, Computer Science