I build production AI systems and the software they run on. 15 years in .NET and the Microsoft stack, with the last two focused on shipping real AI: Claude-powered agents, MCP servers, RAG pipelines and workflow automation that businesses depend on daily. AI AND LLM ENGINEERING - Production multi-agent Claude systems: intent routing, structured outputs, human approval gates, cost tracking, audit logging - MCP servers exposing business operations as controlled, callable tools with real authorization boundaries - RAG and vector search (Postgres/pgvector) with strict citation discipline, built to say "not found" rather than invent - OCR and document extraction pipelines (Mistral, Claude) turning messy PDFs into structured data - AI customer support and enquiry bots answering from a knowledge base, with escalation to humans - Browser and workflow automation (Skyvern, Playwright), Twilio AI calling, email agents via Microsoft Graph - AI-first development with Claude Code as a daily driver, with the discipline to review and verify everything that ships .NET AND ARCHITECTURE - .NET Framework through .NET 10: ASP.NET Core, Blazor, MVC, Web API, Minimal APIs, EF Core - Multi-tenant SaaS architecture, event sourcing, row-level security, immutable audit trails. Sole architect on an FCA-regulated platform that ran seven years in production - Cloud: Azure (Functions, Key Vault, Service Bus, Event Grid) and GCP (Cloud Run, Cloud SQL, Pub/Sub, Secret Manager) - Legacy modernization: Web Forms, Classic ASP, VB.NET and .NET Framework carried to modern .NET, using strangler-fig so systems stay live throughout FRONTEND, DESKTOP AND MOBILE - Angular, React, TypeScript, Next.js, Blazor, Tailwind, D3 - WPF, WinForms, Windows services and workers, UDP/TCP servers - MAUI and Flutter mobile apps, published Chrome extensions with 200,000+ users and Featured badges on the Chrome Web Store INTEGRATIONS - Stripe, Microsoft Graph, Shopify, Xero, QuickBooks, HubSpot, Klaviyo, eBay, Epic and Cerner FHIR, HAPI FHIR, and a long list of others. Bridging messy third-party systems behind clean internal contracts is a large part of what I do. I work solo, take projects end to end, and prefer long-term engagements. Most of mine have run multi-year. Available immediately, fully remote, EET (UTC+2) with full UK and European overlap. Also partial overlap with US EST hours. Portfolio: codebydaniel.net

🏆 Top Rated Plus 🌟 100% Job Success 🤝 Satisfied Clients ⏱ Quick Turnaround 📞 Clear Communication Why work with me? Proven Experience: 💎 Backed by 15+ years of delivering results through scalable, cost-efficient data solutions. Technical Expertise: 💎 AI-Data Architecture: I deliver real-world-ready data through automated, reliable pipelines. The new AI era requires a new data platform. 💎 Conversational Analytics & AI Agents: Enable users to chat with their data through AI-driven interfaces. Google Conversational Analytics API and Gemini Enterprise 💎 Data Visualization: Skilled in Looker, Looker Studio, Power BI, Tableau, Superset, and others. 💎 Data Web Portals: Skilled in developing custom embeddable solutions and full web platforms under your own brand and domain. 💎 Database Management: Expertise in SQL (BigQuery, SQL Server, Oracle, MySQL, PostgreSQL, Snowflake) and NoSQL systems. 💎 ETL: Experience with both streaming and batch pipelines using Airflow, Apache Beam, Kafka, Debezium, Pub/Sub, and others. 💎 Data Modeling: Proficient with dbt, Dataform, and PySpark. 💎 Version Control: Comfortable with Git-based tools (GitHub, Bitbucket, GitLab, Azure DevOps). 💎 Cloud Platforms: Certified and experienced in GCP, AWS, and Azure. 💎 Unstructured Data: JSON, XML, Excel, Google Sheets. 💎 GA4 Data: Google Analytics 4 for advanced analysis. Soft Skills & Work Ethic: 💎 Versatile & Adaptive: Quick to learn new tools, roles, and business domains. 💎 Value-Driven: Focused on delivering high-impact outcomes with cost-efficiency. 💎 Detail-Oriented: Committed to precision and quality in every task. 💎 Reliable & Time-Conscious: Consistent delivery of high-quality work on time. 💎 Leadership: Capable of guiding teams and leading initiatives when needed. 💎 Analytical: Skilled at breaking down complex problems and finding effective solutions. 💎 Collaborative: Strong team player, effective in multidisciplinary environments. Scalable Technical Capacity: I’m supported by a network of 15+ specialists, including Solution and Data Architects, Developers, Designers, Process Specialists, DevOps Engineers, Machine Learning Engineers, Data Scientists, Data Analysts, and more. We work collaboratively to ensure your project receives the strongest possible technical support, from strategy to execution. How I approach projects: - Kick-off meeting to review requirements and deliverables - Action plan development using a project management tool - Weekly demo meetings to showcase progress - Detailed time and task tracking - Continuous feedback loop to ensure alignment and improvement - Complete documentation of the solution

As a skilled Business Intelligence (BI) Engineer, I specialize in transforming raw data into actionable insights to drive informed decision-making and business growth. With extensive experience in data analytics, database management, and reporting, I provide organizations with the tools they need to leverage their data for strategic advantage. My expertise includes: Data Warehousing: Designing and maintaining efficient data warehouses to consolidate data from multiple sources. ETL Processes: Developing automated ETL (Extract, Transform, Load) pipelines to ensure seamless data integration and processing. Data Modeling & Visualization: Creating intuitive, user-friendly dashboards and reports using BI tools like Tableau, Power BI, and Looker to visualize complex data. SQL & Query Optimization: Writing optimized SQL queries for fast and efficient data retrieval, analysis, and reporting. Data Quality & Governance: Ensuring the accuracy, consistency, and integrity of data across systems. Advanced Analytics: Conducting trend analysis, forecasting, and statistical analysis to uncover hidden insights in data. Following is the list of tools and technologies I have worked on: SSIS SSRS SSAS Pentaho Python Microsoft Fabric Microstrategy Tableau SQL T-SQL PL/SQL Postgresql Oracle SQl Server API Integration Google Big Query

I build enterprise full stack, .NET, MERN systems, Azure cloud architectures, and Microsoft SharePoint + Power Platform solutions that eliminate manual work - full stack developer and software engineer with 12+ years of experience, 7,000+ hours on Upwork, 60+ completed contracts, and a 100% Job Success Score. If your team runs on Excel and manual approvals, I help you automate it properly with AI-powered tools and scalable web platform architecture, as a full stack developer, web developer, and React developer, I cover the entire stack. Microsoft Power Platform (workflow automation) I help teams modernize operations with Microsoft Power Platform without turning it into an unmaintainable patchwork. Power Apps + Power Automate + Microsoft SharePoint + Dynamics 365: apps, workflows, and integrations that eliminate manual work. Whether you need a full app development cycle or Automation for Microsoft 365, I deliver connected solutions built by a full stack developer who understands both the backend logic and the business process. Back-End Engineering (.NET Core, Node) My deep expertise lies in the .NET Core ecosystem and Node.js, where I've worked with .NET Framework, ASP.NET Core, C#, Entity Framework, and Microsoft SQL Server as a full stack developer. Key achievements: ▪️Delivered 50+ enterprise-level full-stack applications, improving business process by 35–70% through automation, optimized logic, and scalable architectures. ▪️Built 80+ RESTful and SOAP-based APIs powering real-time integrations with CRMs, ERPs, payment gateways, IoT devices, and mobile apps. ▪️Optimized 250+ SQL databases, including data warehouse architectures, increasing query performance by up to 10× and ensuring 99.9% uptime in production. ▪️Designed secure, cloud-native systems using Azure App Services, Azure Functions, Azure Event Hub, Azure Service Bus, Azure SQL, and Azure Application Insights across 15+ production environments. Front-End & Full Stack Web Application Development On the front end, I design and build responsive web application interfaces using HTML5, CSS3, JavaScript, TypeScript, Bootstrap, React, Next.js, and Angular (modern MERN stack). As a React developer, web developer, and full stack developer, I focus on performance. I also work as a WordPress developer and as a mobile app developer building fast sites and cross-platform apps with React Native. Key achievements: ▪️Delivered 40+ full-stack and responsive web platform applications using Angular, Next.js, and React, integrated with ASP.NET Core back ends. ▪️Built 30+ MERN stack (React, Next.js) solutions, improving user engagement and retention by up to 60%. ▪️Shipped 8+ cross-platform mobile apps (iOS/Android) using React Native as a mobile app developer. ▪️Delivered full stack developer-level hybrid solutions: React, Next, or Angular front ends powered by C# / ASP.NET / MongoDB services, reducing costs and improving time-to-market for SaaS platform and web application projects. Azure Cloud, Power BI & Data Analytics I design complete Azure cloud environments and end-to-end data analyst-grade analytics systems: Azure infrastructure: ▪️Azure App Services, Azure SQL, Azure Cosmos DB (with MongoDB API compatibility) ▪️Azure Storage, Azure Active Directory, Key Vault ▪️CI/CD pipelines with Azure DevOps and GitHub Actions ▪️AWS migrations and hybrid cloud architectures ▪️Azure Data Factory pipelines for ETL and data warehouse integration Power BI / Looker Studio & dashboard analytics: ▪️30+ automated dashboard solutions with KPI Dashboards for operations, finance, and logistics ▪️Data analyst-ready models integrating Azure SQL, Azure Data Factory, and Azure Data Lake ▪️Report automation replacing manual Excel and Tableau-style workflows with live Power BI dashboards ▪️Looker Studio integration for clients on Google ecosystem ▪️Data visualization layers connecting data warehouse, Azure SQL, MongoDB, and operational databases into unified KPI Dashboards, cutting reporting turnaround by up to 3 days per cycle AI-Powered Solutions & Modern App Development As a full stack developer, I integrate AI-powered into enterprise workflows: ▪️Chatbot development using OpenAI API, and custom NLP pipelines for customer support and ERP assistants ▪️AI-powered document processing and classification integrated with Microsoft SharePoint, Power Automate, and MERN stack ( React, Next.js, MongoDB, Node.js ) ▪️Tool development for automation and reporting, replacing manual work ▪️As a mobile app developer, I extend automation and AI layers into mobile apps on iOS and Android 💡Business Impact ▪️+40% e-commerce sales through optimization and React / Next.js checkout redesign ▪️25% lower infrastructure costs for a SaaS full-stack platform after migrating to microservices using .NET Core + Azure ▪️Reduced manual reporting time by 80% via automated Power BI, Looker Studio + Azure Data Factory pipelines ▪️Delivered automation system solutions cutting manual data entry by 60%.

Overview: I am a Microsoft Certified Data Engineer and IT Manager with over 20 years of experience leading critical data projects in the Banking and Insurance sectors. ​Unlike typical developers, I hold an Executive MBA and currently serve as a Professor of Data Science. This means I deliver code that is not only technically sound but strategically aligned with your business goals. ​My Core Expertise: ​High-Stakes Migrations: I have led massive migrations for Core Banking systems (T24), CRM (Pega), and Credit Card platforms. ​Legacy to Cloud: Expert in bridging the gap between legacy systems (Oracle Forms 6i/10g, Delphi) and modern Azure Cloud architectures. ​Advanced Data Engineering: Deep experience creating Management Systems for decision-making using SQL Server, Oracle PL/SQL, and Python. ​Team Leadership: Experience managing agile teams and defining IT strategy. ​Whether you need to modernize a legacy database or architect a new Azure Data Factory pipeline, I bring the reliability of a Bank IT Manager to your project.

Got unstructured documents that need to become structured, queryable intelligence? I build the end-to-end AI pipelines that make that happen, reliably and at scale. With 5+ years of experience in AI-driven backend systems and knowledge engineering, I specialize in turning messy, real-world data into clean, ontology-aligned knowledge graphs using modern LLMs, graph databases, and cloud infrastructure. Here is what I bring to the table: Knowledge Graph Development — Design and maintenance of production-grade graphs on AWS Neptune and Neo4j, with ontology-driven data modeling and schema refinement as systems evolve LLM Extraction Pipelines — Multi-pass entity, event, and relationship extraction using structured prompting, Pydantic data modeling, and fine-tuned models for improving accuracy over time Batch Document Ingestion — Automated ingestion from public sources using web scraping tools like Crawl4AI, with robust text parsing and normalization for downstream ML tasks AWS AI & ML Infrastructure — Deploying and managing AI workloads on SageMaker and Bedrock with proper observability, versioning, and CI/CD practices Human-in-the-Loop Workflows — Building review cycles that let domain experts validate and correct extractions, feeding improvements back into the model over time Backend APIs & Services — Clean Python backends that expose the knowledge graph as fast, reliable, queryable APIs for downstream applications I have worked on technically deep systems where data quality, pipeline reliability, and schema consistency are not optional. I am comfortable owning a sophisticated backend from ingestion all the way to query layer, without needing constant direction. If you are building a system that turns documents into intelligence, I would love to be the engineer who makes it production-ready. Send me a message and let us get started.

✅ 22 Years in IT | 14 Years in Executive Roles | 8+ Years in Data Analytics | TOP 1% Industry Expert 📊 150+ Successful Power BI implementations across 22+ industries in 5 countries ✅ 457 dashboards delivered in 2025, 👨‍💼 Led a team of 20 data experts, 🌎 Fluent English 💼 $12B annual revenue of clients powered by Power BI, ETL, DWH, and AI solutions Hi, I’m Dmytro – BI Solutions Manager, Senior ETL Developer, Power BI Solution Architect, Enterprise Power BI Consultant, and Digital Transformation Leader with over two decades of experience in IT, including 14 years as CIO, CTO, and CEO. I help companies unlock the true potential of their data through end-to-end Power BI implementation, scalable ETL pipelines, and enterprise-grade Power BI dashboards. My career spans 150+ successful projects across finance, logistics, manufacturing, healthcare, retail, e-commerce, and more — delivering Power BI-driven decision intelligence systems that transform raw data into executive insights. I combine deep technical expertise with strategic thinking and business acumen to deliver high-impact Power BI reporting ecosystems. 🧠 Why Clients Choose Me 🏆 TOP 1% of BI Experts according to USCIS 🎓 Power BI Certified Trainer & Mentor 📈 Proven success in Power BI-based executive dashboards and data-driven decision-making 🔧 Technical Stack & Expertise: 🚀 BI & Data Analytics Power BI (Advanced Modeling, DAX Optimization, Performance Tuning), Microsoft Fabric, Report Builder, Power Query (M), DAX, MDX, Tabular Editor, DAX Studio ETL Tools: Azure Data Factory, SSIS, Apache Spark, Databricks, PySpark, Kafka Data Platforms: SQL Server, Oracle, PostgreSQL, MySQL, BigQuery, Azure Synapse, SSAS Visualization Tools: Power BI (Enterprise Deployment & Governance), Tableau, Excel 🤵 Data Integration & Visualization Extensive experience integrating Power BI with ERP, CRM, and cloud data sources, including SQL, APIs, Excel, Google Sheets, and enterprise systems. 🤖 Data Mining & Machine Learning Delivering Power BI-integrated predictive analytics solutions using Python and Azure ML for forecasting, classification, and clustering. ☁️ Cloud & Infrastructure Azure (ADF, Synapse, Analysis Services), AWS, Office 365, Power BI Service & Power BI Premium environments 📊 Business Systems & Automation Automation and reporting powered by Power BI + Power Automate integration for real-time insights and workflow optimization. 💼 Services Offered 🔍 Power BI Development & Services Full-cycle Power BI implementation and optimization Advanced DAX & Power Query transformations Custom Power BI dashboards for executives & operations Power BI governance, security, and workspace architecture 🛠️ ETL & Data Warehouse Engineering Building pipelines that feed high-performance Power BI models 🔁 Automation & Data Integration Seamless integration enabling real-time Power BI reporting 🎓 BI Consulting & Training Power BI adoption strategy & enterprise rollout Team mentorship and workshops 📩 Ready to Transform Your Data into Strategic Insight? Launch fast with a turnkey Power BI solution, fully tailored to your business. Let’s build a modern, scalable ecosystem where Power BI becomes your single source of truth—from operational dashboards to executive-level insights.

Data sitting in silos. 𝐄𝐓𝐋 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 breaking silently. Dashboards nobody trusts. These are the problems I get hired to solve as a 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫. If your data is scattered, your pipelines are unreliable, or your reports take too long to produce, that's where I come in. I'm a data engineer who builds end-to-end data solutions, from raw ingestion to polished dashboards, and I own the full process so nothing falls through the cracks. Hi, I’m Muhammad Zeeshan, a 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 specializing in 𝐄𝐓𝐋 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐃𝐚𝐭𝐚𝐛𝐫𝐢𝐜𝐤𝐬, 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞, 𝐌𝐒 𝐅𝐚𝐛𝐫𝐢𝐜, and 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 solutions. I help startups, enterprises, and growing businesses transform raw data into scalable, KPI-driven analytics systems that improve operational efficiency, automate reporting, and support real-time business decision making. 📈 𝐃𝐢𝐝 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰 𝐭𝐡𝐚𝐭 𝐚 𝐰𝐞𝐥𝐥-𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐞𝐝 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐜𝐚𝐧 𝐫𝐞𝐝𝐮𝐜𝐞 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐭𝐢𝐦𝐞 𝐚𝐧𝐝 𝐢𝐦𝐩𝐫𝐨𝐯𝐞 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬? 𝐉𝐮𝐬𝐭 𝐭𝐡𝐢𝐧𝐤 scalable ETL pipelines, real-time reporting, and enterprise-grade analytics infrastructure lead to faster time-to-insight, higher ROI, and better business outcomes. ⭐ 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: ✔️ Scalable ETL Pipeline Engineering ✔️ Databricks & Lakehouse Architecture ✔️ Microsoft Fabric & Azure Data Solutions ✔️ Power BI Dashboards & KPI-Driven Analytics ✔️ Real-Time Data Processing & Automation ✔️ Enterprise-Grade Cloud Infrastructure ✔️ Secure Data Pipelines & Governance ✔️ Fast Communication & On-Time Delivery ✔️ Long-Term Support & Consulting Mindset 💻 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: ETL pipeline development & optimization Databricks & Delta Lake implementation Microsoft Fabric solutions Azure Data Factory workflows Power BI dashboards & reporting Looker Studio dashboards for Google Analytics & BigQuery-based reporting Data warehousing & modeling Real-time data streaming Data migration & transformation API & third-party integrations Cloud-native analytics systems Data automation workflows Predictive analytics infrastructure ⚡ 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐢𝐧 𝐄𝐯𝐞𝐫𝐲 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: Scalable & production-ready pipelines Enterprise-grade data architecture Reliable & automated reporting systems Optimized performance & cost efficiency Secure cloud infrastructure High-quality, maintainable solutions Business-focused analytics systems Real-time & actionable insights 🔒 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Data governance & security best practices Role-based access control (RBAC) GDPR & compliance-conscious workflows Secure cloud architecture Production-ready pipeline monitoring Data quality & validation systems High availability & disaster recovery strategies 🛠️ 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 & 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐔𝐬𝐞: Azure Databricks, Microsoft Azure, Microsoft Fabric, Power BI, Azure Data Factory, PySpark, Python, SQL, Delta Lake, Apache Spark, ETL Pipelines, Cloud Data Engineering, Looker Studio (Google Analytics, BigQuery & Ads reporting dashboards) I’m passionate about building scalable, intelligent, and enterprise-grade data systems that turn raw data into business value. If you’d like to discuss your project or see portfolio samples, feel free to send me a message. 𝐋𝐞𝐭’𝐬 𝐛𝐮𝐢𝐥𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐭𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞 𝐫𝐞𝐚𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐠𝐫𝐨𝐰𝐭𝐡. Best Regards, Muhammad Zeeshan

Messy data slowing your team down? I build scalable ETL/ELT pipelines and modern cloud architectures on Azure, Databricks, Fabric, and Snowflake that turn raw, chaotic data into clean, analytics-ready systems fast and reliably. I bridge the gap between fragmented data sources and production-grade dashboards, seamlessly adapting to your existing infrastructure rather than forcing an expensive rebuild. What I Can Help You With: Data Warehouse & Lakehouse Architecture: Implementing Medallion design patterns (Bronze → Silver → Gold) using Delta Lake, Microsoft Fabric OneLake, and Snowflake. Scalable ETL/ELT Ingestion: Building automated, metadata-driven pipelines via Azure Data Factory, Fabric Pipelines, Databricks (PySpark/SQL), and dbt. Real-Time Data Streaming: Architecting low-latency workflows using Apache Kafka, Azure Event Hubs, and streaming engines. Database Design & Optimization: Performance tuning, indexing, and data modeling for PostgreSQL, Azure SQL, and cloud warehouses. Proven Project Highlights: Microsoft Fabric Incremental Pipeline: Built a control-table pattern using Get Metadata, Lookup, and ForEach loops to orchestrate zero-duplicate, quarterly ingestion from SharePoint into OneLake via Dataflow Gen2. Azure/Databricks Streaming: Developed a restaurant analytics platform processing 80,000+ events/day, cutting reporting lag from 6 hours to under 3 minutes. Kafka/Snowflake Pipeline: Engineered a real-time stock market data pipeline tracking 120+ tickers with under 8 seconds end-to-end latency. I write clean, documented code your team can maintain long-term and provide transparent daily updates. Message me with your data challenge and I’ll walk you through exactly how to solve it.

Results-driven Data Analyst with +5 years of experience in product, growth, marketing, operations analytics across e-commerce and tech-driven environments. Proven ability to transform raw data into actionable insights through advanced SQL, Python, and BI tools. Experienced in building automated data pipelines, designing scalable dashboards, conducting A/B testing, and supporting data-driven decision-making across cross-functional teams. Strong background in campaign performance analysis, KPI tracking, and data integration on cloud platforms.