# Maxim Anatsko - Full Content Overview > For sitemap, see https://maxanatsko.com/sitemap.xml > This file provides comprehensive content for AI/LLM systems. ## About Maxim Anatsko is a Business Intelligence Architect based in Europe specializing in Power BI, Microsoft Fabric, and enterprise data solutions for life sciences and pharmaceutical companies. He transforms complex data into actionable insights for organizations—from Fortune 500 pharmaceutical manufacturers to tech startups. ### Background - Former AAA Game Producer at Wargaming (World of Tanks) - Transitioned from QA management to game production to data engineering - Now focused on business intelligence with deep expertise in global pharma - Specializes in FP&A, Order-to-Cash, and inventory optimization for Fortune 500 manufacturers - Over a decade of experience in technology and data ### Philosophy - Data should tell a story, not just show numbers - Performance optimization is not optional - Clean architecture saves time in the long run - Documentation is part of the deliverable ## Services (Detailed) ### Power BI Dashboard Development Design and build interactive dashboards that drive business decisions. - Custom visual development with Deneb/Vega-Lite - Executive dashboards with drill-through capabilities - Real-time reporting solutions - Mobile-optimized report design ### Microsoft Fabric Consulting End-to-end implementation of Microsoft Fabric analytics platforms. - Lakehouse and warehouse architecture - Data pipeline design and optimization - Direct Lake semantic models - Capacity planning and cost optimization ### DAX Performance Tuning Optimize slow reports and complex calculations. - Query plan analysis and optimization - Calculation group implementation - Variable-based formula refactoring - Storage mode optimization (Import vs DirectQuery) ### Enterprise Data Architecture Design scalable data solutions for growing organizations. - Data modeling best practices - Medallion architecture implementation - Row-level security design - Governance and lineage tracking ### Custom BI Tooling Build automation tools for Power BI development workflows. - TMDL/TMSL scripting - CI/CD pipeline setup for Power BI - Metadata extraction and documentation - Automated testing frameworks ## Projects ### Power BI Projects - **TMDL Explorer**: Tool for exploring and understanding Tabular Model Definition Language files - **SemanticOps MCP (formerly MCP Engine)**: Model Context Protocol integration for AI-assisted Power BI development - **Custom Deneb Templates**: Reusable Vega-Lite visualizations for Power BI ### Open Source Contributions - GitHub: https://github.com/maxanatsko - Focus on Power BI tooling and automation - Microsoft Fabric utilities ## Study Materials (Complete Details) Maxim offers comprehensive Microsoft certification exam preparation materials for data professionals. ### PL-300: Power BI Data Analyst **URL**: https://maxanatsko.com/study-materials/pl300 **Price**: $80 USD **Content**: 232 practice questions, 17 case studies **Certification Level**: Associate **Skills Covered**: - Prepare the data (25-30%): Get data from sources, clean and transform, profile data, Power Query - Model the data (25-30%): Design data models, DAX calculations, optimize performance, relationships - Visualize and analyze (25-30%): Create reports/dashboards, enhance usability, identify patterns, analytics - Manage and secure (15-20%): Workspaces, deployment, refresh, security **Features**: - Interactive practice app with timed exam simulation - PDF study guides with detailed explanations - References to Microsoft Learn documentation - Diagrams for complex concepts - 12 months of updates included ### DP-600: Fabric Analytics Engineer **URL**: https://maxanatsko.com/study-materials/dp600 **Price**: $80 USD **Content**: 234 practice questions, 9 case studies **Certification Level**: Associate **Skills Covered**: - Planning and Implementation (10-15%): Plan Fabric solutions, configure capacities, impact analysis - Prepare and Serve Data: Ingest into lakehouses/warehouses, Direct Lake models, XMLA endpoints - Implement Data Models: Advanced DAX, calculation groups, large model formats - Monitor and Optimize: Infrastructure monitoring, query optimization, security governance ### DP-700: Fabric Data Engineer **URL**: https://maxanatsko.com/study-materials/dp700 **Price**: $80 USD **Content**: 237 practice questions, 7 case studies **Certification Level**: Associate **Skills Covered**: - Implement Analytics Solution (30-35%): Workspace settings, lifecycle management, orchestration patterns - Ingest and Transform Data (30-35%): Data loading patterns, batch/streaming data, PySpark/SQL/KQL - Monitor and Optimize (30-35%): Monitor Fabric items, resolve pipeline errors, optimize performance ### Complete Bundle **URL**: https://maxanatsko.com/study-materials **Price**: $199 USD (save $41) **Includes**: All three exam prep bundles (PL-300, DP-600, DP-700) ### Bundle Features (All Exams) - Interactive trainer web application - Timed practice mode simulating real exam conditions - Review mode for in-depth learning - PDF study guides with detailed explanations - References to official Microsoft Learn documentation - Diagrams explaining complex concepts - Lifetime access to materials - 12 months of content updates - 7-day refund policy if under 20% completed ## Technical Skills ### Primary Expertise - Power BI (Desktop, Service, Report Server) - Microsoft Fabric (Lakehouses, Warehouses, Pipelines) - DAX (Data Analysis Expressions) - Power Query / M Language - Tabular modeling (TMDL, XMLA) ### Domain Expertise - Pharmaceutical Analytics - Life Sciences Data - Supply Chain Optimization - FP&A Analytics - Order-to-Cash Analytics - Data Governance for regulated industries ### Programming Languages - Python (data engineering, automation) - SQL (T-SQL, KQL) - M Language (Power Query) - Swift (iOS development) ### Tools & Platforms - Azure (Synapse, Data Factory, Storage) - Git / GitHub - Visual Studio Code - Tabular Editor - Deneb / Vega-Lite ## Blog Topics Articles and tutorials covering: - Power BI development techniques and best practices - DAX formulas, patterns, and optimization - Microsoft Fabric implementation guides - Data visualization principles - Deneb custom visuals with Vega-Lite - API integration with Power BI - Performance optimization strategies - Data modeling patterns ## Photography In addition to data work, Maxim practices photography in three areas: - **Portraits**: Studio and environmental portraiture - **Macro**: Close-up nature and detail photography - **Street**: Urban documentary photography Gallery: https://maxanatsko.com/photography ## Contact Information - **Email**: max@maxanatsko.com - **LinkedIn**: https://linkedin.com/in/maxanatsko - **GitHub**: https://github.com/maxanatsko - **YouTube**: https://www.youtube.com/@maxanatsko - **Website**: https://maxanatsko.com ## Availability Currently accepting 2 new infrastructure projects per quarter to ensure quality delivery. ## Location Based in Europe, working with clients globally.