Aniket Bartwal
Azure Data Engineer @Metricsdatalabs
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WORK HISTORY
Azure Data Engineer @Metricsdatalabs
Mississauga, ON, CA
Built and implemented automated data pipelines using Azure Data Factory to support robust and scalable ETL workflows, ensuring efficient data integration across multiple sources Designed scalable and efficient data models and architectures on Azure platforms such as Azure Cosmos DB, Azure Synapse Analytics, and Azure Data Lake Storage to support both transactional and analytical workloads Managed and optimized Azure SQL Database instances, including performance tuning, query optimization, and regular troubleshooting, to ensure high availability and reliability of databases Configured and maintained Azure Synapse Analytics and Snowflake to support enterprise-level data warehousing and provide high-performance data analysis and reporting capabilities Secured sensitive data by implementing robust encryption and managing encryption keys and secrets through Azure Key Vault, ensuring full compliance with industry-standard security protocols Monitored, analyzed, and optimized data pipeline performance using Azure Monitor, identifying potential bottlenecks and proactively addressing issues to maintain operational excellence Troubleshot and resolved data pipeline issues, working closely with stakeholders to ensure data integrity and continuous performance improvements across the Azure ecosystem Developed and maintained end-to-end data pipelines using Azure SQL, PySpark, and Python, ensuring efficient data ingestion, transformation, and storage across Azure platforms. Implemented CI/CD pipelines using Azure DevOps to automate deployment and version control for data engineering workflows, improving reliability and release efficiency Worked with real-time and NoSQL data services such as Azure Event Hubs and Cosmos DB to ingest, process, and manage streaming and semi-structured data for analytical use cases
EDUCATION
Hemwati Nandan Bahuguna Garhwal University
Bachelor of Science - BS
Lambton College
Master's degree, Computer Science
ABOUT ANIKET BARTWAL
Versatile Azure Data Engineer with 2+ years of hands-on experience in architecting, implementing, and enhancing data solutions within the Azure ecosystem Expertise in designing, developing, and optimizing scalable Data Pipelines using Azure Data Factory and Azure Databricks, enabling seamless data integration and transformation across a wide range of data sources, driving efficient data workflows and automating complex processes Efficient with Azure Blob Storage and Azure Data Lake, effectively implementing secure, high-performance storage solutions for managing large datasets, ensuring fast and reliable data access for analytics reporting Proficient in architecting and managing globally distributed databases with Azure Cosmos DB, delivering low-latency, high-availability applications by utilizing multi-model database solutions for mission-critical systems, providing enhanced scalability and flexibility Specialized in securing sensitive data through Azure Key Vault, ensuring robust encryption, access control, and compliance with best security practices, protecting critical information with controlled access Proficient in setting up end-to-end monitoring solutions with Azure Monitor, integrating logs, metrics, and automated alerts to proactively identify and address performance bottlenecks, improving system reliability Experienced in optimizing query performance with Azure SQL Database and Azure Synapse Analytics, designing efficient data warehousing solutions and ensuring optimal query performance for large-scale workloads Good in leveraging Microsoft Fabric for unified data engineering, analytics, and Data workflows, streamlining data integration, transformation, and visualization across multiple Azure services Technical expertise in Snowflake data warehousing, including schema design, data loading, and performance tuning, enabling faster data processing and supporting advanced analytics for business decision-making Adept at building and deploying IoT solutions by integrating Azure IoT Hub with downstream services such as Azure Event Hubs and Azure Stream Analytics, enabling real-time data ingestion, processing, and analytics for smart environments and operational intelligence Knowledgeable in implementing CI/CD pipelines for automating deployment and testing of data solutions using Azure DevOps, ensuring seamless integration and continuous delivery
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