Raghuveer Undinti

About Raghuveer Undinti

Over 14 years of experience in Azure Cloud, Google Cloud, data architecture, data platform operations, and business intelligence, I possess extensive expertise in SQL Server and the Microsoft BI Stack (SSIS, SSRS, SSAS). Over 5 years of experience in designing, implementing, and maintaining services on Azure and GCP cloud. Capable of building, maintaining, and improving data architecture, collection, and storage systems. Over 4 years of experience in designing data engineering SDLC practices using Azure DevOps. Designed solutions on Azure and Google Cloud Platform (GCP) utilizing various services including Azure Key Vault, Azure Storage, Azure Log Analytics, Azure Purview, Google BigQuery, Google Dataform, Google Storage Bucket, and Google Cloud Monitoring Logs. Proficiency in modeling and implementing ETL technologies and processes using cloud services such as Azure Data Factory, Incorta, Databricks, and on-prem technologies like Microsoft SSIS. Proficiency in building multidimensional and tabular data models using SSAS, Azure analysis services, Power BI Semantic Models. Designed and Implemented a source code branching strategy to meet the needs of the data engineering team and support agile practices. Experience in implementing CI/CD processes for deploying SQL, SSIS, Azure Data Factory, Azure Databricks Notebooks, Looker Projects, and BigQuery Dataform. Provisioned Azure Virtual Machines with VNet and NSG configurations. Extensive knowledge on Tableau \\ Power BI \\ Looker \\ SSRS Administration Experience with SQL database backup and restore, server maintenance, monitoring, user access management, and implementing row-level security. Designed and onboarded users according to the RBAC security model on Snowflake data warehouse, BigQuery, Looker, Incorta. Recommend and deploy data models and solutions for existing data systems. Ensure that the design adheres to data compliance regulations and fulfills security requirements. Troubleshoot data management or data load issues and aid various teams. Experience with collaboration across different teams. Work with data architects and data analysts to identify design requirements. Work together with Data Engineers, Data Analysts, and Database Administrators to address data load problems.

Experience

1. Technology Architect

   Infosys

   Aug 2024 — Present · FL, US

   Lead the team as technology architect for client and provide solutions for their data needs• Expertise in planning & designing for migration of Data Warehouse from On-Prem Azure SQL server to Google Cloud BigQuery• Design Security and Monitoring for GCP resources along with Incorta and Looker Applications• Lead BI AMS support team for client to maintain the SLA for critical End-of-Quarter Reporting as well as low priority tickets• Provided leadership to the team in managing incidents, resolving issues, and ensuring the efficient operation of Business Intelligence (BI) platforms.

Education

• Jawaharlal Nehru Technological University

  Bachelor Of Technology, Computer Science Engineer

  2002 — 2006

Skills

• Pl/Sql
• Xml
• Spotlight
• Agile Methodologies
• Transact-Sql (T-Sql)
• Extract, Transform, Load (Etl)
• Software Development Life Cycle (Sdlc)
• Team Foundation Server (Tfs)
• Business Intelligence
• Analysis Services
• T-Sql
• Sql Server Analysis Servises (Ssas)
• C#
• .net
• Data Modeling
• Oracle
• Requirements Analysis
• Informatica
• Business Analysis
• Web Services
• Sql Server Reporting Services (Ssrs)
• Data Warehousing
• Ssis
• Databases
• Ssrs
• Microsoft Sql Server
• Integration
• Etl
• Javascript
• Java
• Sql
• Testing
• Asp.net
• Sdlc
• Sql Server Integration Services (Ssis)