Sagar Raiyani

About Sagar Raiyani

Microsoft Certified Trainer, Cloud Technologies Consultant, and Agile Developer with a proven track record in designing, implementing, integrating, and supporting Azure IaaS/PaaS/SaaS solutions. Hold MCP and MCSA certifications for SharePoint, O365, and Azure Solutions.Key Competencies:Designing and Implementing Azure Farms: Extensive hands-on experience in creating Azure environments featuring Windows Servers in High Availability mode, Load Balancers (LBS), Network Security Groups (NSG’s), SQL servers with Cluster configuration, SharePoint servers, SCOM, and SCCM.Collaboration and Business Acumen: Skilled in facilitating meetings with both business stakeholders and community members to comprehensively understand and articulate business needs. A technology professional with a practical understanding of business requirements.Creative Leadership: Highly effective in incorporating creative leadership skills to achieve business objectives. Direct projects in a manner that enhances efficiency, ensuring deadlines and budget requirements are met.Azure Data Engineering Expertise:Ingesting Enterprise Data: Proficient in working with batch and streaming workloads to ingest data from enterprise systems such as SAP, ServiceMax, Salesforce, and SharePoint.Real-Time Replication: Utilizing real-time replication tools such as HVR and Azure Data Factory to enable seamless data integration.Architecture Development: Contributing to the creation of Delta Lake in a medallion architecture using Azure Databricks.Centralized Data Models: Specialized in building Products, Customer, and Service 360 platforms to establish centralized, well-governed data models.With a comprehensive skill set and hands-on experience in Azure technologies, I am committed to delivering innovative solutions that align with business goals and enhance operational efficiency.

Experience

1. Principal Architect

   Fractal

   Oct 2025 — Present · Mumbai, IN

   As a Principal Architect, I lead end-to-end Data & AI engineering strategy, architecture, and delivery for large-scale, multi-vendor ecosystems supporting 300+ engineers across 100+ concurrent projects. My role spans technical leadership, governance, solution design, and operational excellence to ensure scalable, secure, and high-quality data platforms that drive business value.Key Responsibilities • Enterprise Architecture LeadershipDefine and govern the architecture blueprint for Data, AI, ML, and Analytics platforms including Azure, Databricks, Delta Lake, PBI, and integration patterns across modern data stacks. • Agentic & GenAI StrategyDrive design and implementation of agentic AI solutions, intelligent automation, and generative AI–powered accelerators across ecosystems. • End-to-End Solution OwnershipArchitect and oversee delivery of data pipelines, ML model lifecycle, metadata & code migration, CDM frameworks, and large-scale modernization programs. • Engineering Leadership for a 300+ Member TeamProvide architectural guidance, best practices, and technical governance across multiple business lines, ensuring high standards of code quality, security, and reliability. • Operational Excellence & Margin EfficiencyLead Health Span improvements, skill transformation, structured grade frameworks, internal mobility, continuous learning programs, talent bench creation, and efficient project delivery models. • Stakeholder & C-Suite CollaborationWork closely with business leaders, product owners, and executives to align technology strategy with business outcomes, influence decision-making, and drive measurable value. • Innovation & Thought LeadershipDevelop accelerators, reusable frameworks, and best-practice playbooks; conduct architectural reviews; mentor architects; and lead technical communities of practice.