Himanshu M.

About Himanshu M.

About‍?​I am a seasoned professional experienced in Data Warehousing and Business Intelligence (BI). Proven track record in architecting and implementing scalable data solutions across various sectors. Specializing in defining and executing strategic data management initiatives, leading cross-functional teams, and driving operational excellence. Strong background in data architecture, ETL pipeline development, and ensuring data quality through effective governance.Industries: Healthcare, Manufacturing & Food Processing, Finance, Retail, Health Insurance, Educational Services : ETL/ELT/Data Pipeline - Databricks, Palantir, Azure Synapse, Azure Data Factory, IBM DataStage, SQL Server Integration Studio(SSIS), Snowflake Data Warehousing - Snowflake, Microsoft SQL Server, DB2, Oracle 12c/11g/10g, Sybase, Netezza Data Tools - Sql Developer, Toad, Aginity, Data Studio, Data Studio Copy, Rapid Sql, DBeaver, MS Visio Data Modeling - Kimball\'s fact and dimensional modeling, Star Schema, Snowflake Schema, Inmon Cloud - Azure, SnowflakeFiles - JSON, XML, csv, sequential(txt) Automation/Real Time - Azure Data Factory, ASG Zena, RapidM, ControlM, CA Workload, RabbitMQ Version Control - SVN, Git Logging Tool - Splunk : Excel - VBA, Macros, Pivot Tables/Charts, Index/Match, VLOOKUP, IFS, SUMIFS BI Applications - OBIEE, Power BI Project Management Tools - JIRA, ServiceNow, Azure DevOps, Miro Project Management Styles - Agile, Scrum, Kanban, Waterfall : Microsoft Office - Excel, PowerPoint, Word, Outlook, Sharepoint, Visio, Teams

Experience

1. Senior Consultant, Data and Analytics

   Slalom

   Jul 2022 — Present

   Owned complex data engineering deliverables for major healthcare migration from Health Catalyst to Databricks, using AI-assisted development (Roo & Claude in Visual Studio) to accelerate legacy code modernization. Delivered high-quality data marts, unblocked team dependencies, and provided technical leadership to improve overall team velocity-Drove and implemented strategic vision for Business Intelligence and Data Warehousing, migrating the executive dashboards from on-premises to Databricks, resulting in 90% improvement in runtime efficiency through the implementation of Delta tables in Unity Catalog-Optimized and redesigned Palantir ETL workflows, improving compute efficiency and reducing processing time by 30%-Implemented CI/CD pipelines and streamlined DevOps processes using Azure DevOps, enhancing deployment efficiency and automation-Developed and executed comprehensive data management and governance strategies for a major healthcare client, enabling the successful adoption of a Unified Data Lakehouse (UDLH) that streamlined data standards and processes across the organization-Spearheaded the migration of third-party solutions to Azure cloud, leveraging Azure Synapse and Azure Data Factory to create an innovative in-house Consumption Data Platform that enhanced data accessibility and usability-Cultivated and managed cross-functional partnerships with Data Scientists, Product Managers, and Software Engineers, ensuring alignment on data requirements and driving the delivery of impactful, data-driven solutions-Designed and launched scalable data models and ETL pipelines in production, significantly improving data collection and analytical processes for a national healthcare organization-Served as Data Architect for a ground-up Order Management System for a healthcare client, focusing on robust design and efficient data flow.

Education

• Ramrao Adik Institute of Technology

  Bachelors, Information Technology

  2004 — 2008

• Clemson University

  Master's, Computer Science

  2009 — 2011