Anup T.

⚡ Expert-Vetted (Top 1%) on Upwork. Top Rated Plus. 100% Job Success. 15+ years architecting enterprise data platforms on Microsoft Fabric and Azure. If your data platform is fragmented, expensive, slow, or not ready for AI — I help you modernize it into a scalable, governed, business-ready cloud data ecosystem. I'm a Strategic Azure Solutions Architect and Data Engineering Leader. I work with clients who need more than development help — they need someone who can assess the current state, define the right architecture, build the roadmap, guide implementation, and stay hands-on when needed. 🎯 What I help you solve ✓ Modernize legacy SQL Server, SSIS, Oracle, and on-prem data platforms ✓ Design Microsoft Fabric Lakehouse, Warehouse, OneLake, and Direct Lake architectures ✓ Build scalable Azure Data Factory + Databricks ingestion and transformation frameworks ✓ Improve Power BI performance, semantic models, RLS, and enterprise BI adoption ✓ Reduce cloud cost through better architecture, workload design, and optimization ✓ Prepare your data foundation for AI, Copilot, Fabric Data Agents, and self-service analytics ✓ Deliver governed data solutions for regulated and complex enterprise environments 🧩 Microsoft Fabric expertise Hands-on experience with Microsoft Fabric implementation, solutioning, and roadmaps: ▸ Fabric Lakehouse, Warehouse, OneLake, Notebooks, and Pipelines ▸ Direct Lake semantic models and Power BI optimization ▸ OneLake shortcuts and DB mirroring patterns ▸ Fabric Data Agent and Copilot proof-of-concepts ▸ Self-service data models in controlled enterprise environments ▸ Data franchise models for governed, business-owned analytics If you're deciding whether to move to Fabric, how to structure workspaces and domains, how to combine Fabric with Databricks, or how to design an AI-ready data platform — I can help you avoid costly architecture mistakes early. 🛠 Azure data engineering expertise ▸ Azure Data Factory pipeline design and metadata-driven frameworks ▸ Azure Databricks, PySpark, Spark SQL, Delta Lake, and performance tuning ▸ Azure Data Lake Gen2, Synapse Dedicated Pool, Azure SQL, and SQL Server ▸ Batch and near-real-time data processing patterns ▸ Data warehouse, lakehouse, staging, ODS, and data mart design ▸ Star schema, snowflake schema, dimensional modeling, and semantic layer design ▸ CI/CD, DevOps, environment strategy, and production support readiness 💡 Why clients hire me ✓ Architect + hands-on builder — I design the roadmap and help deliver it ✓ 15+ years across data engineering, BI, cloud migration, and analytics platforms ✓ Strong Microsoft ecosystem depth: Fabric, Azure, Databricks, ADF, Synapse, Power BI, SQL ✓ Enterprise experience across Life Sciences, Manufacturing, Supply Chain, Finance, and Regulatory ✓ Comfortable with governance, security, RLS, GxP-controlled environments, and stakeholder alignment ✓ Clear communication, practical recommendations, long-term ownership mindset 📌 Ideal projects → Microsoft Fabric implementation, architecture review, or optimization → Azure data platform modernization or migration → Databricks + ADF pipeline framework design → SQL Server / SSIS / Synapse to Fabric or Databricks modernization → Power BI semantic model, Direct Lake, RLS, or performance improvement → Cloud data architecture assessment before a large investment → AI-ready data platform roadmap for Copilot, Fabric Data Agents, or analytics automation 🤝 How we can start Send a short note about your current data stack, the business problem you're trying to solve, and whether you need architecture guidance, implementation support, or a second opinion before committing to a direction. I'll review it and tell you honestly whether I'm the right fit.