Arvind K R.

💰 $40K+ Earned | ⏱ 2,500+ Hours | 🏆 8 Years Experience | Available 40h/week I'm Arvind, a Senior Data Engineer who builds AI-powered automation, data pipelines and Power BI reporting on Azure, SQL, Python and .NET. Most businesses have the same problem: data scattered across Excel files, emails and multiple systems, with slow manual work and no reliable reporting. I fix that end to end. I bring the data together, clean it, automate the process around it, add AI where it saves real time, and deliver dashboards your team trusts. ✅ WHAT I WORK WITH Data Engineering: Azure Data Factory, Microsoft Fabric, Data Lake, SQL Server, Azure SQL, PostgreSQL, Python (automation, APIs, data processing) AI & Automation Tools: OpenAI API, Azure OpenAI, ChatGPT, Claude, GitHub Copilot, LangChain, Monday, n8n, Zapier, Make, Power Automate BI: Power BI (data modeling, DAX, KPIs), Looker Studio, Metabase Backend: C#, .NET / ASP.NET Core, React, REST APIs, JSON Governance: role-based access, approvals, audit history, versioning - Build AI-driven workflows using LLMs, Monday, n8n, Zapier, Make and Power Automate - Deliver Power BI dashboards with clean data models, DAX and KPIs - Integrate third-party APIs and data providers into reliable, validated data flows ✅ RECENT PROJECTS 1. AI Call Documentation Automation (Insurance, 8,000+ calls/day) Worked with a team on an LLM workflow that captures the call transcript, generates a structured summary and policy notes, and updates the correct policy record through an API. Post-call documentation dropped from about 2.5 minutes to 30 seconds per call. 2. Insurance Rating & Underwriting Platform (US auto insurer) Worked with a team on a .NET Core, React and SQL Server platform that calculates premiums from driver, vehicle and risk data. Includes third-party validations, automatic re-rating when policy data changes and response caching. The insurer can process about 1,800 new policies a day. 3. AI-Powered Automated Trading Platform Worked with a team on the full trading pipeline: market data ingestion and validation, a metrics engine, ML-based market-condition detection, probability-based signals, multi-layer risk checks and bots that place, monitor and close trades. Supports paper and live trading with a full audit trail. 4. Insurance Policy System Modernization (Data Engineering) Helped replace a legacy policy system with automated policy creation and connected data flow, giving management real-time visibility into operations and broker performance. 5. Automated Financial Reporting Platform (SharePoint + SQL + Power BI) Replaced manual Excel workflows with controlled data intake and live P&L, revenue and cost dashboards. Result: better accuracy and audit readiness. 6. Insurance Analytics & Reporting (Power BI + SQL + Python) Combined data from multiple insurance systems into dashboards for policy, claims and operational KPIs. 7. Contract Management and RAID Portal (SharePoint + Power Automate + SPFx) Governed platforms with approvals, versioning, role-based access, notifications and audit history. ✅ WHY CLIENTS WORK WITH ME - I understand business processes, not just tools - Clear communication and regular updates - Governance-first: permissions, approvals and audit trails built in - I use AI tools to move faster, and I test and review everything before delivery - Can start immediately 📩 Have messy data, manual reporting, or an AI idea you want to make real? Send me a short description of your current process and the result you want, and I'll reply with a clear plan and timeline.