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I build scalable Business Intelligence systems that leadership teams rely on. With 9+ years of experience across BI, data modeling, and data engineering, I help companies transform fragmented data into a clean, reliable source of truth — and turn it into executive-ready dashboards that drive real decisions. I don’t just build reports. I design the entire analytics foundation behind them. What I Specialize In Power BI Development • Executive dashboards & KPI reporting • Advanced DAX measures & calculation logic • Row-Level Security (RLS) implementation • Performance optimization (model + visuals) • Clean, scalable semantic models SQL & Data Modeling • Advanced SQL query optimization • Star schema & dimensional modeling • Large dataset performance tuning • Query refactoring for BI workloads Modern Data Stack • Snowflake data warehousing • Databricks-based data pipelines • ETL / ELT architecture design • Data transformation & automation How I Add Value • Build analytics-ready data models from messy raw data • Reduce manual reporting through automation • Improve dashboard load speed & reliability • Establish maintainable BI architecture (not quick fixes) • Validate metrics against source-of-truth systems I’ve worked with multi-source environments, large datasets, and fast-paced teams that require accurate reporting under tight deadlines. If you need someone who can own both the data layer and the BI layer — and deliver clarity, structure, and performance — let’s talk.

Data Analytics professional specializing in Tableau Visualization. Tableau is ideal for building analysis tools, mapping geographical data, and providing comprehensive data insights.

Are you looking to unlock the full potential of Palantir Foundry and AIP? I am a Senior Palantir Foundry Developer and Platform Administrator with extensive experience architecting and deploying ontology-backed applications for a massive enterprise deployment of over 6,000 registered users. Beyond building scalable data pipelines and custom applications, I provide hands-on training and SME-level support to developers, ensuring your team adopts industry best practices in ontology design, application architecture, and AI integration. My technical expertise is grounded in over 16 years of experience as a rigorous Operations Research Analyst. I don't just write code; I bridge the gap between complex quantitative analysis and production-ready software. I have also completed the comprehensive Ontologize Foundry & AIP Foundations for Engineers curriculum. Core Expertise: Data Engineering: PySpark, SQL, Pipeline Builder, and robust data integration. Ontology & App Development: Ontology design, Workshop (no-code apps), and OSDK + React front-end development. AI Platform (AIP) & MLOps: AIP Logic, RAG-assisted AIP Agents, LLM-in-code patterns, semantic search, and the Model Catalog. I am available for part-time, project-based engagements on Fridays, as well as nights and weekends (US Central Time). Let's connect to discuss how we can accelerate your next Palantir initiative.

💎 Top Rated PLUS 💎 Expert-Vetted 🏅 Top 1% of Tableau Developers With over a decade of proficiency in data engineering and a prestigious Top-Rated Tableau expert status on Upwork for more than 3 years, I'm your solution for data-driven insights that fuel growth. My extensive expertise revolves around cutting-edge technologies: Data Strategy Transformation: Shaping visionary data strategies aligned with your goals for sustained success. Robust Data Infrastructure: Establishing databases and pipelines from scratch, seamlessly integrating with Microsoft Azure, Amazon Web Services, and beyond. Data Integration & Automation: Effortlessly streamlining processes via cutting-edge tools like Stitch, Fivetran, Airflow, and Prefect for ongoing analysis. Masterful Data Engineering: Developing intricate models, interconnecting diverse sources, and crafting algorithms for fluid data processing. Tableau Brilliance: Fashioning captivating dashboards and visuals using Tableau to distill intricate data into actionable insights. Tableau Server Excellence: Ensuring seamless data access and collaboration through adept management of Tableau Server. Diverse Industry Exposure: My journey spans across various sectors including Consumer Package Goods, Healthcare Tech, E-commerce, and Financial. This cross-industry understanding adds depth to my insights. My unwavering dedication to harnessing data's potential propels your business to new heights. Backed by a robust skill set embracing Tableau, BigQuery, Redshift, PostgreSQL, MySQL, Snowflake, I'm primed to unlock your data's true power. Empower your business with data. Reach out today to schedule a consultation, and let's explore how I can transform your data into a strategic asset that drives exponential growth. Expect my response within 24 hours. Thank you for considering me as a valuable asset on your data journey. Best regards, Luke Lerdal

Fractional Data Leader | Top Rated Plus | 100% Job Success | Founder, DataNicely You're running multiple locations, entities, or brands — and the numbers don't tie. Each property or rooftop reports a little differently. Someone on your team rebuilds the same spreadsheet every month. By the time leadership sees a number, it's three weeks old and nobody fully trusts it. That's the problem I solve: building the reporting layer underneath a business that grew faster than its systems. WHO I WORK WITH Operators running multiple locations, entities, or brands — property management portfolios, restaurant groups, multi-brand operators — and the advisory firms and PE sponsors behind them. Usually more systems than anyone planned for, often post-acquisition. If you need one dashboard built on data that's already clean, I'm more than you need. If your data lives in five systems and nobody can produce a number everyone believes, that's my work. WHAT I BUILD 1. Data infrastructure & BI — Ingestion from your operational systems (AppFolio, POS, ERP, CRM, scheduled exports, APIs), a real database layer, defined metrics, and Power BI / Tableau / Looker Studio reporting on top. Architected so a future API migration doesn't mean a rebuild. 2. Marketing & revenue analytics — GA4, GTM, Meta Pixel, and Conversions API implementation and cleanup. Attribution you can act on, tied back to operational and financial results instead of sitting in a silo. 3. AI automation — Automating the manual work that remains after reporting is fixed: reconciliation, matching, data entry between systems. Every automation ships with human approval gates, an error queue, fallback-to-manual, and an audit log. Nothing posts without your approval — and I don't deploy automations I don't maintain. RECENT WORK • Multi-brand media operator — architected ingestion of 8 brands' ad, subscription, and engagement data into BigQuery, replacing manual cross-brand reporting with one consolidated view. Built an AI layer on top of that clean data so their team can ask questions in plain language instead of queuing requests with an analyst. • Property management portfolios — AppFolio and operational data through automated ingestion into a reporting database and Power BI: occupancy, NOI by property, turn time, work-order backlog, days vacant. Designed so API migration doesn't mean a rebuild. • Multi-location restaurant group — marketing analytics and tracking infrastructure across 12 locations: GA4, GTM, Meta, and campaign attribution tied back to location-level performance. • Private equity value-creation firm — profit-by-customer analysis reconciling 2.08M transactions to the dollar, surfacing $0.6–1.1M in annually realizable margin. HOW I WORK I lead every engagement from architecture through delivery, with support from a vetted team working on dedicated, secured infrastructure. Your data stays in your environment. Everything is documented and transferable — architecture diagram, schema, data dictionary, metric definitions, source code, and a walkthrough. No black boxes, no dependency on me to keep it running. You own it. I work on a project or retained basis rather than by the hour. Most engagements open with a scoped first phase, so you see the work before committing to the rest. 13+ years in analytics and data engineering, including senior analytics roles in banking and financial services before founding DataNicely. If your reporting can't keep pace with your business, that's the problem I solve. Tell me what systems you're running and where the numbers break, and I'll tell you what I'd build.

I’m an Analytics Engineer and Cloud Data professional with 17+ years of experience across healthcare analytics, data engineering, cloud integration, BI, governance, and secure data platforms. My work spans Azure, Microsoft Fabric, ADF, Synapse, Databricks, Snowflake, SQL, Python, HL7, FHIR, IoMT pipelines, HIPAA-aware data systems, and AI-ready analytics workflows. I specialize in building the analytics layer between raw data and business decisions: clean data models, trusted KPIs, governed datasets, secure pipelines, and dashboards that leadership teams can actually rely on. 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐁𝐈 Clinical, operational, IoMT, device telemetry, EHR, HL7, FHIR, HIPAA-aware dashboards, executive reporting, and healthcare data quality. ✅ 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 SaaS metrics, eCommerce analytics, customer analytics, marketing analytics, revenue reporting, KPI frameworks, semantic models, and BI-ready datasets. ✅ 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Azure Data Factory, Microsoft Fabric, Synapse, Databricks, Snowflake, SQL, Python, API integrations, data ingestion, ETL/ELT pipelines, and cloud data modernization. ✅ 𝐀𝐈-𝐑𝐞𝐚𝐝𝐲 𝐃𝐚𝐭𝐚 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 AI-ready datasets, anomaly detection support, ML-ready pipelines, automated reporting workflows, intelligent insights, and structured data foundations for AI use cases. ✅ 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 & 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 HIPAA, HITRUST, NIST, RBAC, data lineage, metadata, auditability, data validation, access controls, and secure-by-design analytics architecture. 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧𝐜𝐥𝐮𝐝𝐞𝐬 👉 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐦𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Designed secure Azure-based pipelines for clinical, operational, IoMT, and medical device data using ADF, Synapse, ADLS, Databricks, API integrations, HL7, and FHIR standards. 👉 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐁𝐈 𝐚𝐧𝐝 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 Delivered dashboards combining operational, clinical, device, and risk indicators to help leadership teams monitor performance, reliability, and compliance. 👉 𝐂𝐥𝐨𝐮𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Built governed data layers, SQL models, data mappings, validation workflows, and reporting-ready datasets across Azure, Fabric, Synapse, Databricks, Snowflake, and SQL-based environments. 👉 𝐀𝐈-𝐫𝐞𝐚𝐝𝐲 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬 Prepared structured and reliable datasets for anomaly detection, predictive analytics, device monitoring, and advanced healthcare insights. 👉 𝐒𝐞𝐜𝐮𝐫𝐞 𝐝𝐚𝐭𝐚 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Implemented data quality, lineage, metadata, retention, identity controls, and compliance-aligned processes for sensitive healthcare and enterprise datasets. 𝐌𝐲 𝐠𝐨 𝐭𝐨 𝐓𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 Azure Data Factory, Microsoft Fabric, Azure Synapse, Azure SQL, ADLS Gen2, Databricks, Snowflake, SQL, Python, PySpark, dbt, Power BI, Tableau, HL7, FHIR, EPIC, IoMT, APIs, Event Hub, Azure IoT Hub, Delta Lake, RBAC, IAM, HIPAA, HITRUST, NIST, and data governance frameworks. If your team needs cleaner healthcare analytics, better BI models, secure cloud data pipelines, or AI-ready datasets, send me a message and I’ll help map the right analytics architecture for your business.