Proactive Logic Consulting Inc

**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