Prashanth Kumar
Fabric Data Enginner | Azure Data Engineer | Data Modeling | ETL | Data Pipelines | Python | Databricks | Spark | Kafka | Hadoop | Data Analytics | Data Modeling | Snowflake | Terraform | PowerBI |Data Warehousing
- Role
- Fabric Data Engineer at Central Hudson
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Prashanth Kumar
Email Id:p••••••••@gmail.com Mobile :+13•••••••65With 9+ years of expertise as a skilled Azure Data Engineer, I specialize in designing, implementing, and maintaining robust cloud-based data platforms. My proficiency in Microsoft Azure extends to crafting scalable data pipelines, efficiently transferring large data volumes to Azure Data Lake Storage.I\'m well-versed in Big Data technologies, including Map Reduce, HDFS, Hive, YARN, Sqoop, Oozie, HBase, Pig, Spark, Scala, Kafka, and ETL (DataStage). Proficient in Python, SQL, and Unix, I possess hands-on experience with various databases such as Oracle, MS SQL, MySQL, Postgres SQL, snowflake, and Azure Cosmos DB.I possess good knowledge of Microsoft Azure services, including Azure Data Lake Storage, Azure Data Factory, Azure Analytical Services, Azure Blob Storage, Azure Analysis Services, and Azure Synapse. Additionally, I have extensive experience with big data technologies such as Map Reduce, HDFS, Hive, Sqoop, Oozie, HBase, Pig, Spark, Scala, Kafka, and ETL (DataStage).Dedicated to staying abreast of the latest trends in data engineering, I have a proven track record of evaluating emerging technologies and offering strategic recommendations for adoption. As a collaborative team player, I am always ready to share my expertise with junior data engineers. Additionally, my seamless collaboration with DevOps teams ensures the smooth deployment and effective management of pipelines.
Experience
Fabric Data Engineer
Aug 2024 — Present · NY, US
Architected and deployed enterprise-scale data pipelines in Microsoft Fabric and Azure Service Fabric, leveraging Apache Spark, OneLake, and Lakehouse for unified analytics.Optimized Fabric capacity and performance with autoscaling, cost controls, and monitoring, enabling AI/ML workloads and predictive analytics.Engineered robust Lakehouse storage on ADLS Gen2 using medallion architecture, Dataflows Gen2, and Delta Tables to streamline ingestion and governance.Integrated Microsoft Fabric with Power BI and Microsoft 365, delivering semantic models, DAX measures, and dashboards with RLS and RBAC security.Designed and automated SAP-to-Fabric pipelines using Pipelines, Spark, Dataflows Gen2, REST APIs, and shortcuts, centralizing enterprise data in OneLake.Delivered curated, business-ready datasets in Fabric Data Warehouse and integrated seamlessly with Power BI for enterprise reporting and self-service analytics.Led large-scale ERP and SAP migration projects into Fabric, Azure, and Oracle, achieving 99.9% accuracy, 35% faster load times, and 40% improved reporting efficiency.Built custom Power BI dashboards integrating REST APIs from ServiceNow, JIRA, and Timesheets, applying advanced DAX for IT service and productivity insights.Enhanced governance and orchestration through ESP Workload Automation, metadata frameworks, and Git integration, ensuring reliable pipelines and compliance.
Education
CVR College of Engineering, Hyderabad
Bachelor's degree
University at Albany
Master's degree
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