Devendra Singh Rathore
Azure Data & Fabric Engineer | Microsoft Certified (DP-600, DP-700, DP-203, DP-900) | Data Analytics & Engineering | Python | SQL | PySpark
- Role
- Data Engineer at MandelBulb Technologies
- Location
- Jaipur, RJ, IN
- LinkedIn followers
- 500 followers
About Devendra Singh Rathore
Passionate and results-driven Azure Data & Fabric Engineer with extensive experience in designing and implementing scalable data solutions. Microsoft-certified (DP-600, DP-700, DP-203, DP-900) and proficient in leveraging Azure services, Databricks, PySpark, SQL, and Python to build robust ETL pipelines, data lakes, and analytics solutions.I specialize in transforming raw data into actionable insights by architecting efficient data pipelines, real-time streaming solutions, and AI-driven analytics platforms. My expertise spans across batch and real-time data processing, data modeling, optimization, and cloud-native solutions using Azure and Microsoft Fabric.Real-World Experience & Key Expertise End-to-End Data Pipeline DevelopmentDesigned and built scalable ETL pipelines using Azure Data Factory (ADF), Databricks, and Synapse Analytics for Fortune 500 companies.Automated data ingestion from multiple sources (SQL, NoSQL, APIs, IoT, Flat Files) into Azure Data Lake Storage (ADLS) for seamless processing.Optimized data transformations using PySpark to reduce processing time by 40%, ensuring cost efficiency and scalability. Microsoft Fabric & Lakehouse ArchitectureImplemented Microsoft Fabric-based lakehouse solutions, integrating OneLake, Dataflows, and Direct Lake mode to accelerate analytics.Built real-time dashboards in Power BI by connecting to Fabric’s Lakehouse and Warehouse to provide instant insights.Migrated legacy on-premise SSIS workflows to a cloud-native Fabric Data Factory (FDF) setup, improving agility and maintainability. Big Data & Real-Time Streaming SolutionsDeveloped a real-time event processing system using Azure Event Hubs, Stream Analytics, and Databricks Structured Streaming to process IoT sensor data, reducing latency from minutes to seconds.Architected a high-throughput data lake ingestion pipeline for an e-commerce company, handling terabytes of clickstream data daily. Data Warehousing & Performance OptimizationDesigned high-performance data models in Synapse Analytics and Fabric Warehouse, improving query speeds by 60%.Optimized SQL queries and Spark jobs, reducing costs and improving overall performance for enterprise-scale analytics workloads.Implemented Delta Lake architecture to enable ACID transactions, improving data consistency and governance.
Experience
Data Engineer
Oct 2023 — Present · Jaipur, IN
Data Engineers are responsible for designing, building, and maintaining the infrastructure that supports data storage, processing, and retrieval. They work with large data sets and develop data pipelines that move data from source systems to data warehouses, data lakes, and other data storage and processing systems.
Education
Arya College of Engineering and IT
Bachelor of Technology - BTech
2019 — 2023
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