Rohit Telang is a Senior Data Engineer with 13+ years of expertise in architecting robust, scalable data platforms, specializing in Azure cloud solutions. He has extensive experience in modern ETL/ELT frameworks and data warehousing, ensuring high-performance data-driven applications.
Architected enterprise-grade data platforms on Azure, enhancing scalability and performance.
Led cloud migration initiatives, modernizing legacy ETL pipelines into cloud-native architectures.
Implemented CI/CD pipelines for automated deployments, improving operational efficiency.
Optimized data workflows using Python and SQL, resulting in significant performance gains.
Designed advanced Power BI dashboards, delivering real-time insights to stakeholders.
Built BNP-ETL + Eval + CRO + SBODW + Global Equipment + Customer + Retail Inventory
Overview: BNP-ETL is a large-scale cloud migration initiative aimed at modernizing legacy on-premise ETL pipelines into a cloud-native, governed data lakehouse architecture on Azure. Responsibilities: Migrated legacy SQL Server ETL and stored procedures into ADF and Databricks pipelines, enabling scalable, serverless execution. Designed and implemented ingestion workflows using ADF, Azure Data Lake Storage, and Azure Functions. Developed and optimized PySpark + SQL transformations in Databricks and Synapse for high-performance query execution.
Overview: The Eval Management System – Cloud Migration project modernized a legacy evaluation platform into a scalable, cloud-native data architecture on Microsoft Azure. Responsibilities: Re-architected legacy ETL workflows into scalable pipelines using Azure Data Factory and Azure Databricks, ensuring reliable ingestion, transformation, and orchestration of structured and semi-structured data.
Overview: CRO is an enterprise-grade orchestration platform designed to automate and streamline backup and recovery workflows across hybrid environments. Responsibilities: Architected end-to-end data ingestion and transformation workflows using Azure Blob Storage, Azure SQL Database, and Apache Spark.
Overview: Led the design and implementation of a centralized global sales and operations data warehouse, modernizing legacy ETL pipelines into a cloud-first, lakehouse-oriented architecture. Responsibilities: Spearheaded migration of legacy ETL workflows into ADF pipelines, integrating Azure Blob Storage, Databricks, and Snowflake for scalable and performant transformations.
Overview: Engineered a modern data warehouse to centralize global equipment sales analytics by migrating legacy ETL pipelines to Azure Data Factory and Synapse Analytics. Responsibilities: Migrated legacy ETL pipelines to Azure Data Factory (ADF) and integrated with Azure Synapse Analytics for scalable transformation and analytics.
Rohit T
Senior Azure Data Engineer