Sushil Kumar Sinha

Information technology professional with 15+ years of experience architecting and delivering enterprise-scale data solutions across diverse domains including banking & financial services, oil and natural gas, retail, Consumer goods, and manufacturing. Specialized in enterprise data architecture, cloud modernization, and advanced analytics platforms, with a proven track record of guiding organizations through digital transformation. Specialized in enterprise data architecture, cloud modernization, and advanced analytics platforms, with a proven track record of guiding organizations through digital transformation. Expert in designing and implementing scalable, secure, and high-performance Enterprise Data Warehouses (EDW) and analytics solutions tailored to business needs. Leadership Role: Making sure the stack evolves in line with long-term strategy (e.g., cloud migration, data modernization). It goes beyond management by focusing on vision, adaptability, and empowering people to deliver value through technology.

• Making sure the stack evolves in line with long-term strategy (e.g., cloud migration, data modernization). It goes beyond management by focusing on vision, adaptability, and empowering people to deliver value through technology.
• Cloud Data Architecture & Strategy: Architect enterprise-scale data solutions, guiding organizations in migrating on-premises systems to cloud-native and hybrid ecosystems, with deep expertise.
• Data Migration & Integration Architecture: Lead design and governance of complex migration projects across Azure Data Lake Gen2, Teradata, Hadoop HDFS, and Snowflake, ensuring seamless integration and scalability.
• Data Modeling & Warehousing Architecture: Specialized in relational, dimensional, and unstructured data modeling, delivering robust data warehouses, data marts, and BI solutions aligned with business objectives.
• ETL & Pipeline Architecture: Provide architectural oversight and technical leadership for data integration frameworks, ETL design, performance optimization, and environment management across Dev/Prod landscapes.
• Azure Data Services Architecture: Designed and implemented enterprise solutions using Azure Data Lake, Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics, with automation via U-SQL, PowerShell, and Python.
• Event-Driven Architecture & Automation: Implemented Azure Event Hub, Logic Apps, and CI/CD pipelines via Azure DevOps, enabling real-time data workflows and automated delivery pipelines.