Charan V

About Charan V

I’m eager to network, exchange insights, and explore new opportunities in data engineering. You can reach me at c••••••••@gmail.com.With over 11 years of experience in the Azure Data Engineering field, including 8+ years in Azure cloud services and 4+ years in Data Warehouse implementations, I have demonstrated expertise in architecting, developing, and optimizing data solutions. My expertise includes Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Blob Storage and many more services.I have extensive experience leveraging Azure Data Factory (ADF) to orchestrate data pipelines, streamline workflows, and integrate with Azure Blob Storage for optimized performance. My work with Azure Data Lake Storage (ADLS) Gen2 and Azure Databricks enables scalable data processing, advanced analytics, and efficient integration with Azure services. Additionally, I have leveraged Azure Synapse Analytics to unify big data and data warehousing, enabling seamless integration, exploration, and analysis for actionable insights across structured and unstructured data.With 5+ years of experience in ETL pipeline development using Spark and PySpark on Azure Databricks, I have designed scalable data solutions using Azure Data Lake Storage (ADLS) Gen2. I have also built streaming applications utilizing Azure Event Hubs, Scala, Azure Data Factory (ADF), and Azure Stream Analytics to enable real-time processing. My expertise extends to designing serverless Azure Function Apps for secure data handling and workflow integration with Azure Logic Apps.I have successfully deployed and managed CI/CD automation strategies using Azure DevOps, integrating version control systems such as Git and implementing Infrastructure as Code (IaC) solutions using Terraform. My experience includes implementing advanced data processing techniques such as partitioning, bucketing, Spark tuning, and distributed data optimization in Azure Synapse Analytics to enhance query performance. Additionally, I have worked with BI tools such as Power BI, Tableau, and Looker to create insightful dashboards and reports.With a strong background in Big Data technologies, I have worked extensively with Hadoop ecosystems, including HDFS, YARN, MapReduce, Hive, Oozie, Apache Kafka, and Apache Spark. I have also designed and optimized data modeling strategies using Snowflake, Teradata, and other data warehouse solutions, ensuring efficient pipeline execution and analytical performance.

Experience

1. Azure Data Engineer

   Accenture

   Oct 2025 — Present · US

Education

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Bachelor of Technology - B.Tech, Information Technology

• University of Cincinnati

  Master of Science - MS, Information Technology