Senior Microsoft Fabric & Power BI Consultant (AI-Forward) — Healthcare Data & Analytics

• • Who We Are • • Proactive Logic Consulting INC is a boutique technology consulting firm specializing in: - • • Innovation, zero to one projects • • - • • Assessments & Roadmaps • • - • • Process Automation and AI • • - • • Azure Cloud Migrations • • - • • App Modernization • • (including Low-Code solutions) We bring together top-tier independent consultants—experts in their craft who thrive on flexibility and autonomy. Our consultants have a strong customer-obsessed mindset, high EQ, and deep technical skills. We're entrepreneurial at heart and fully support individuals who are simultaneously building their own product ventures. • • What We're Looking For • • We need an experienced • • Senior Microsoft Fabric & Power BI Consultant • • to lead the design and delivery of a modern data lake, data marts, and interactive reporting dashboards for a healthcare client. You'll reimagine legacy reports using modern tooling—not port them 1:1—and build self-service analytics that empower business stakeholders. This role is a corp-to-corp, 1099 engagement. If you combine deep Microsoft Fabric and Power BI expertise with AI-forward delivery practices, we'd love to talk. • • Key Requirements • • - • • 10+ Years in Data & Analytics • • - Designing data models, building data warehouses/lakehouses, and delivering enterprise reporting solutions. - Strong data modeling expertise: star schema, dimensional modeling, semantic models, and medallion architecture (bronze-silver-gold). - • • Microsoft Fabric Expertise • • - End-to-end experience with Microsoft Fabric: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, and Notebooks. - Data engineering in Fabric: ingestion pipelines, data transformations, incremental refresh, and orchestration. - Fabric capacity management, workspace governance, and security configuration. - Experience migrating or building greenfield data platforms on Fabric. - • • Power BI Mastery • • - Advanced Power BI development: DAX, Power Query (M), composite models, DirectLake, and paginated reports. - Dashboard and report design with a focus on usability, performance, and business value—not just aesthetics. - Row-level security (RLS), deployment pipelines, and enterprise Power BI governance. - Self-service analytics enablement: building datasets and reports that business users can explore independently. - • • Azure Data Platform • • - Azure Data Lake Storage (ADLS Gen2), Azure SQL, Synapse Analytics, Data Factory. - Azure DevOps/GitHub for CI/CD; IaC (Terraform/Bicep) is a plus. - Observability: Azure Monitor, Log Analytics, App Insights. - • • AI-Forward Analytics & Reporting • • - Daily practitioner with AI coding tools and agents: • • Claude Code • • , • • OpenAI Codex CLI • • , GitHub Copilot, Cursor (or similar). - Prompt and instruction design; translate business goals into structured prompts, tools, and context. - AI-assisted report development: using LLMs for DAX generation, data profiling, documentation, and semantic model optimization. - Copilot for Power BI and Fabric: practical experience leveraging built-in AI features for report creation, Q&A, and data exploration. - Safety/compliance: PII/PHI handling, data masking, redaction, guardrails, and HIPAA alignment in analytics environments. - • • Data Quality & Governance • • - Data quality frameworks: validation rules, profiling, anomaly detection. - Data catalog and lineage: discoverability from source through lake to mart to report. - Change Data Capture (CDC) concepts and integration with downstream reporting. - • • Healthcare Domain (Strongly Preferred) • • - Experience in healthcare, health insurance, pharmacy, or related industries. - Understanding of HIPAA, PHI handling, and regulatory requirements in data and reporting environments. - Familiarity with clinical, operational, financial, or sales reporting in a healthcare context. - • • Consulting & EQ • • - Excellent client-facing communication; ability to facilitate requirements workshops with business stakeholders. - Translate complex data concepts into actionable insights for non-technical audiences. - Outcome-focused and pragmatic—deliver business value, not just technical artifacts. - • • Entrepreneurial Mindset • • - Think like an owner; innovate and deliver measurable value. - Proactively identify opportunities to improve data quality, reporting coverage, and user adoption. - • • Business Structure • • - Must have an active • • LLC or S-Corp • • ; • • 1099 Only • • (Corp-to-Corp). • • What You'll Do • • - • • Design & Model • • : Architect data marts and semantic models for key analytical domains (sales, operations, clinical, financial) on Microsoft Fabric. - • • Build the Data Lake • • : Implement data lake ingestion pipelines, transformations, and partitioning strategies using Fabric Lakehouses and OneLake. - • • Reimagine Reporting • • : Redesign and rebuild legacy reports as modern, interactive Power BI dashboards—taking full advantage of the new data architecture. - • • Enable Self-Service • • : Build curated datasets and reports that empower business users to explore data independently without developer support. - • • Ensure Quality & Governance • • : Implement data quality validation, profiling, catalog, and lineage tracking across the analytics platform. - • • Deliver with AI • • : Leverage AI tools to accelerate development, automate documentation, optimize DAX/queries, and enhance reporting workflows. - • • Client Engagement • • : Partner with business stakeholders to translate needs into data-driven solutions; present trade-offs and recommendations clearly. • • Preferred Tech & Tooling • • - Microsoft Fabric: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows Gen2, Notebooks, Spark - Power BI: DAX, Power Query (M), DirectLake, Composite Models, Paginated Reports, Deployment Pipelines, RLS - Azure: ADLS Gen2, Azure SQL, Data Factory, Synapse, Key Vault, Azure Monitor/Log Analytics - Data Modeling: Star schema, dimensional modeling, medallion architecture, semantic models - Data Quality & Lineage: Profiling, validation frameworks, catalog tooling, CDC integration - Synthetic Data: Experience generating non-PHI test data for development environments (a plus) - AI/LLM platforms: Azure OpenAI, OpenAI, Anthropic; Copilot for Power BI and Fabric - Agentic tooling & IDEs: • • Claude Code • • , • • OpenAI Codex CLI • • , GitHub Copilot, Cursor (or similar) • • Why Join Proactive Logic Consulting? • • - • • Flexible Engagements • • : Autonomy in how you work and deliver. - • • Top-Tier Peers • • : Collaborate with senior experts across cloud, data, and AI. - • • Impactful Projects • • : Healthcare data modernization with measurable business outcomes. - • • AI-Forward Culture • • : Operate at the leading edge of AI-augmented analytics and reporting. - • • Entrepreneurial Community • • : Connect with builders and founders who think like owners. • • How to Apply • • If this describes your ideal consulting engagement and you meet the qualifications, please send: - Your • • resume or consultant profile • • highlighting Microsoft Fabric, Power BI, data modeling, and healthcare analytics experience. - A brief • • description of your LLC or S-Corp • • (name, location). - Links to • • relevant work • • (dashboards, data models, technical write-ups, repos, or demo projects). - A short statement on • • how you use AI tools (Claude Code, Codex CLI, Copilot for Power BI, etc.) • • to accelerate delivery while maintaining quality and safety. Job Type: Contract Compensation Package: - 1099 contract Experience: - Data & analytics: 10+ years (Required) - Microsoft Fabric: 2+ years (Required) - Power BI (advanced DAX/modeling): 5+ years (Required) - Healthcare domain: 2+ years (Strongly Preferred) - AI/LLM tools in analytics workflows: 1+ years (Preferred) - Consulting: 5+ years (Required) Job Type: Contract Pay: $75.00 - $100.00 per hour Expected hours: 30 – 40 per week Work Location: Remote