RAVI PATIDAR — Data Engineer

As a Senior Data Engineer, I specialize in designing and developing scalable, high-performance data solutions using Microsoft Fabric and the Azure Data Platform. My work focuses on building robust data models, implementing Medallion architecture, and ensuring reliable, analytics-ready data pipelines. Key Responsibilities & Expertise: Implement data pipelines and ETL/ELT workflows using Microsoft Fabric, Azure Data Factory, and Databricks (PySpark) for efficient data ingestion, transformation, and loading. Design and manage data models with a strong foundation in normalization, dimensional modeling, and data warehouse concepts, ensuring data integrity and performance. Implement the Medallion Architecture (Bronze–Silver–Gold layers) to organize and optimize data processing across various stages. Develop and maintain event-driven and batch processing pipelines that support both real-time and large-scale data flows. Build and optimize data pipelines that move data across multiple systems, ensuring timeliness, accuracy, and reliability. Integrate data from diverse sources, including REST APIs, Flat Files, SQL Server, Oracle, SAP Tables, SFTP, Azure Data Lake, and Blob Storage. Create and manage Logic App workflows to automate real-time data processing and system integrations. Apply data analytics principles to support business insights and reporting needs. Enhance system performance by optimizing slow-running queries and data transformation logic. Ensure adherence to data governance, privacy, and security best practices in all stages of data engineering. Collaborate with cross-functional teams to deliver end-to-end data solutions and mentor junior engineers in technical and project-related areas. Technical Skills: Microsoft Fabric | Azure Data Factory | Azure Synapse Analytics | Azure Data Lake | Azure Databricks (PySpark) | Data Modeling | Normalization | Medallion Architecture | SQL Server | Azure Logic Apps | Data Analytics | REST APIs | Event-driven Pipelines | Data Governance | Performance Optimization

Stackforce AI infers this person is a Data Engineering expert specializing in Azure-based scalable solutions.

Location: Vadodara, Gujarat, India

Experience: 4 yrs 9 mos