Mohit Sabharwal

Background

About Mohit Sabharwal

Enthusiastic and subject oriented Azure Data Engineer with 3+ years of hands-on experience in designing, implementing, and optimizing data solutions using Azure services • Proficient in leveraging Azure Data Lake, Azure Blob Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Stream Analytics to architect robust data pipelines for diverse business requirements, ensuring efficient data processing and analysis • Detail-Oriented with Python and SQL for data manipulation, transformation, and analysis, ensuring streamlined data management and efficient querying, facilitating informed decision-making • Dynamic in developing interactive dashboards and reports using Power BI, enabling stakeholders to visualize and interpret complex data effectively, facilitating data-driven decision-making • Extensive knowledge in employing Azure SQL Databases, Azure Cosmos DB, and Azure Data Factory for scalable and high-performance data solutions, ensuring reliable data storage and processing capabilities • Constructed high-performance data warehouses on Snowflake, achieving significant improvements in query response times and enhancing scalability to handle data seamlessly • Efficient in implementing Azure HDInsight for big data processing and analytics, enabling the processing of large volumes of data with high velocity, facilitating timely insights generation • Leveraged Azure Data Catalog and Azure Monitor for managing and monitoring data assets and pipelines, ensuring reliability, performance, and compliance with industry standards • Integrated data security best practices using Azure Key Vault, safeguarding sensitive data, and ensuring compliance with regulatory requirements, maintaining data integrity and confidentiality • Well-Versed in PySpark for distributed data processing, enabling efficient data transformation and analysis at scale, optimizing data processing workflows • Managed project workflows, documentation, and communication using tools like Jira and Confluence to ensure effective project delivery and knowledge sharing