Hire the Best Blue Prism Freelancers
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Prudent Cloud Data Engineer having 7+ year of experience in developing, maintaining and automating Data Engineering solutions using Microsoft Azure cloud technologies and, using languages like Python and R. Solving business problems end -to- end. Agentic AI LLM Models Microsoft Fabric Power Automate Power Apps Power BI Azure Data Factory Databricks SQL

**Microsoft 365 SharePoint & Power Platform Professional | 13+ Years of Experience | Microsoft Certified** A seasoned Microsoft SharePoint developer and architect with over 12.5 years of comprehensive experience in development, configuration, customization, and administration across various SharePoint platforms. Adept at designing and architecting scalable, enterprise-grade solutions with deep expertise in both classic and modern SharePoint environments. Microsoft-certified and results-driven, with a proven record of delivering high-quality solutions for global clients. Demonstrated technical proficiency, a love of innovation, and leadership and team management skills. Adept at using AI tools like Microsoft Copilot and ChatGPT, as well as contemporary Microsoft technologies like Power Platform, Microsoft 365, SPFx, and Azure, to create clever business apps. Successfully delivered 100+ diverse projects for clients across various industries, ensuring timely delivery and customer satisfaction. --- **Core Competencies & Technical Skills:** **SharePoint & Microsoft 365:** * SharePoint (MOSS 2007, 2010, 2013, 2016, 2019, and SharePoint Online) * Office 365 / Microsoft 365 * SharePoint Framework (SPFx), Microsoft Teams Development, Bot Framework, Teams Apps **Power Platform:** * PowerApps (Canvas, Model-Driven, Power Pages) * Power Automate (Cloud Flows, UI Flows, RPA) * Power BI, Power FX, Power Query * Power Virtual Agents * Power Automate Desktop (RPA) **AI & Automation:** * Microsoft Foundry, Copilot, Copilot Studio, SharePoint Agents * Integration with ChatGPT and Azure QnA **Migration & Integration:** * SharePoint on-premises to Online migrations * Third-party platform migrations to Microsoft 365 * Azure AD B2C, Azure DevOps, Microsoft Azure **Development Skills:** * Backend: .NET Core, C#, MVC, SQL, REST APIs * Frontend: React, TypeScript, JavaScript, jQuery **Tools & Frameworks:** * SPFx, TeamsFX, PowerFX, Nintex Forms and Workflows --- **Professional Highlights:** * 12+ years with leading multinational companies * 5+ years of successful freelance project delivery and owning company * M.Tech. in Artificial Intelligence from IIT Jodhpur * B.Tech. in Information Technology **Certifications:** * Microsoft Azure Fundamentals (AZ-900) * Microsoft Power Platform Developer (PL-400) * SharePoint Core Solutions (70-331) * SharePoint Advanced Solutions (70-332) I would be delighted to bring my expertise to your project or organization and contribute to its success.

• Qlik Sense • Qlik Sense SaaS • Qlik View • Microsoft Power BI • Microsoft Excel Specialist • Developing, Deploying, and Maintaining BI interfaces. • Backend Complex Data Modelling. • Client Support and Problem Solving. • Data Visualization and Interactive Dashboard preparation. • Ad hoc Reports preparation. • Application Testing. • Graphics Design • Cover Art design • Adobe Photoshop • Brand identity Design • Adobe Photoshop

As a Machine Learning Engineer & Data Analyst with 5+ years of industry experience, I specialize in building end-to-end ML pipelines, transforming complex datasets into actionable insights, and deploying scalable data solutions across cloud platforms. I've worked across the full ML lifecycle from raw data ingestion to model deployment helping businesses make smarter, faster decisions. ✅ Data Analysis & Dashboard Storytelling I don't just build dashboards I turn raw, messy data into compelling visual stories that drive decisions using Power BI, Apache Superset, and Excel. I design interactive dashboards that go beyond charts clearly showing what the numbers mean, what's trending, and what actions to take next. ✅ Machine Learning & Predictive Modeling Developed ML models for use cases including ethnicity prediction using US Census data, product likelihood scoring, and balance sheet forecasting with Time Series models. Applied classification, regression, clustering, and NLP algorithms using Python, PySpark, and XGBoost. Leveraged AutoML and Hyperopt for model selection and hyperparameter tuning, optimizing for F1 scores. Managed experiment tracking and model registration using MLflow. ✅ MLOps & Pipeline Orchestration Designed and deployed scalable ML pipelines using Azure Data Factory (ADF) and Databricks, with seamless integration with ServiceNow and email alerts. Built Feature Pipelines creating Silver and Gold layer tables. Applied OOP principles and PySpark pipeline wrappers for production-grade inference. Experienced with Docker, Evidently, and MLflow for end-to-end MLOps. ✅ Cloud Platforms Hands-on experience across Azure (DevOps, Data Factory, Databricks), GCP (Cloud Run, Cloud Build, BigQuery, Artifact Registry), AWS (Databricks, S3), and Snowflake for scalable data and ML workloads. ✅ NLP & Text Analysis Applied NLP techniques including sentiment detection, keyword extraction, and text classification using Python. Experienced in building models for text categorization. ✅ Web App Development & Deployment Built and deployed a Market Mix Modelling web application on GCP Cloud Run using Flask and Node.js, enabling marketing budget allocation across social media platforms with full cloud infrastructure support. Tech Stack at a Glance: Power BI · Apache Superset · Python · PySpark · SQL · MLflow · XGBoost · Scikit-learn · FastAPI · Flask · Azure ADF · Databricks · GCP · Snowflake · Docker · Hyperopt · AutoML Let's connect and build intelligent, data-driven solutions for your business!

🚀 GCP Certified Data Engineer | Google Cloud Platform | Python | SQL | Airflow | GCP workflows | Bigquery | DataForm | Power BI With a solid foundation in GCP (Google Cloud Platform) and a certification in Data Engineering, I bring a wealth of expertise to the table. As a Senior Data Engineer with ~5 years of industry experience, including working in both product-based and service-based companies, I excel in leveraging cutting-edge technology to deliver innovative solutions. 🔹 Skills Highlights: GCP Expertise: Proficient in leveraging the power of Google Cloud Platform for data engineering tasks, ensuring efficient and scalable solutions. Python & PySpark: Adept at harnessing the capabilities of Python and PySpark to manipulate and analyze large datasets, driving actionable insights. SQL Mastery: Experienced in crafting complex SQL queries and optimizing database performance for streamlined data operations. Airflow expertise: Experienced with Apache Airflow, building ETL pipelines, managing task dependencies, and deploying and monitoring workflows. Power BI & Alteryx: Skilled in creating visually compelling dashboards and automating workflows using Power BI and Alteryx, empowering stakeholders with actionable insights. Problem-Solving: Known for my analytical mindset and ability to tackle complex challenges head-on, I thrive in dynamic environments where innovative solutions are required

I build agentic AI and data systems that run in production not demos, not POCs that die in staging. My stack: multi-agent orchestration, RAG pipelines, tool calling, memory management, MCP servers, and end-to-end deployment on Cloud. I have shipped Data systems serving 10,000+ users, handling millions of daily queries, and running continuously for 2+ years. What I bring that most AI engineers don't: I have sat in the room with clients when production breaks, diagnosed it, and fixed it. I architect, I ship, and I stay accountable for outcomes not just delivery. Current focus areas: - Multi-agent architectures: LangGraph, CrewAI, Google ADK, MCP - RAG systems: vector search, hybrid retrieval, cross-encoder reranking - Google Cloud: Vertex AI, Agent Runtime, BigQuery, Cloud Run, Pub/Sub - LLMs: Gemini, Claude, Llama - whichever fits the production constraint, Fine-Tuning I also run devlit.ai, a technical learning platform on production AI systems. Which means I explain complex architectures clearly, not just build them. GCP Professional Data Engineer · GCP Professional Cloud Architect