Hire the Best Data Transformation Specialists

20-year AI, Data and BI engineer and enterprise strategist who has architected, built, sold, and delivered data solutions , with top individual awards at five consecutive technology giants. ⏤ 𝗖𝗮𝗿𝗲𝗲𝗿 𝗔𝘄𝗮𝗿𝗱𝘀 ⏤ #1 Quota Carrier & Top SE, Fivetran ('23–'24) Best Partner Trainer, Databricks ('25) BD SE of the Year, Qlik Top BD SA, Databricks ('19) Employee of the Year & President's Club, Attunity ('18) Sales Academy Winner & Big Data Black Belt, Oracle IU Young Alumni of the Year ('12) ⏤ 𝐂𝐚𝐫𝐞𝐞𝐫 𝐏𝐚𝐭𝐡 ⏤ ▸ Fivetran / dbt Labs — Sr. Solutions Engineer & ERP CoE Lead. #1 quota carrier two years running. Closed $2.5M annual deal for the 5th largest global hedge fund. Architected cloud migrations for hundreds of Fortune 500 accounts into Snowflake, Databricks, and BigQuery. ▸ Speedboat.pro — Principal Architect & Databricks Training Partner of the Year ('25). 100+ training engagements across ML, data engineering, deep learning, and GenAI for Fortune 100 clients. ▸ Qlik — Principal Solutions Architect. Built SAP Digital Decoupling program generating $40M in referred business. 2x Data+AI Summit speaker. ▸ Databricks — Sr. Solutions Architect. Built CoEs across 86 C&SI partners. Team hit 300% quota Q1 2019, sourced $8.4M in Q4. Onboarded ~10,000 partner consultants. Key wins: T-Mobile, CVS Health, Walmart. ▸ Attunity — Director of Technology Solutions. Co-authored NiFi for Dummies (1M+ copies, $14M in referrals). Employee of the Year 2018 and President's Club. ▸ Oracle — Sr. Sales Consultant, Top 3 ranked SE. Core to billion-dollar EULA closings at GM, Ford, P&G. ▸ Domino's Pizza — BI & DW Architect. Led Netezza-to-Hadoop replatforming; Store Hours analysis returned $10M in savings. ▸ IMC Financial Markets — DBA. Built 50TB SQL Server HPC environment; $280M increase in trading volume. ▸ Halo BI — Chief Product Evangelist. Led first million-dollar deals at a supply chain analytics vendor later acquired for $85M. ⏤ 𝗗𝗮𝘁𝗮𝗠𝗮𝗿𝘁𝘇: 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 & 𝗣𝗿𝗶𝗻𝗰𝗶𝗽𝗮𝗹 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁 (2007–𝗣𝗿𝗲𝘀𝗲𝗻𝘁) ⏤ 19-year consulting practice serving IRS, Apple, Chevron, Coca-Cola, and 35+ enterprise clients. Wrote curriculum for Microsoft, Amazon, Google, IBM, Cloudera, and Qlik. 10,000+ professionals trained. Key engagements: ▸ IRS Modernization (Deloitte, Booz Allen, IBM) — Databricks SME Lead: Business Master File modernization, EDP/CADE2 pipeline performance tuning. Active Public Trust/MBI clearance. ▸ Molina Healthcare — Lead Databricks Architect. CDC into Azure Databricks with 60+ dynamic schemas from 12 sources. ▸ Campbells — Lead Databricks Engineer. Metadata-driven SAP connector orchestration framework. ▸ Apple Maps (Pluralsight) — SparkML tuning: hyperparameterization, model selection, custom UDFs. ▸ LiveLine Technologies — VP of Engineering. TensorFlow forecasting with online learning and reinforcement agents deployed to production for manufacturing optimization. ▸ Alivia/UST/Colorado BCBS — Full ETL rewrite and NLP taxonomy extraction from unstructured clinical notes for claims fraud detection. ▸ Capgemini/Coca-Cola — Pod Lead for Databricks CoE. Spark ingestion framework and metadata-driven design patterns. ▸ Anaplan — Sr. Product Manager. Product strategy, presales bootcamp, J&J and Arrow workshops. ▸ Nationwide — Customer Journey CDP strategy, journey mapping, and recommendation engine design. ▸ KPMG/Chevron — Master Data Management on Databricks. ⏤ 𝗛𝗼𝗿𝗶𝘇𝗼𝗻𝘁𝗮𝗹 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 ⏤ Data Science & AI: Python, Spark, TensorFlow, ML/AutoML, LLMs, GenAI, Deep Learning, NLP Data Engineering: SQL, dbt, Airflow, Fivetran, Kafka, Kinesis, EventHubs, SSIS, ADF, Glue, DataStage, Talend Databases: PostgreSQL, MS SQL Server, Snowflake, Databricks, Oracle, Teradata, Netezza Cloud: ▸ Azure: Data Factory, Synapse, Purview, AI Foundry, Document Intelligence ▸ GCP: Vertex AI, BigQuery ▸ AWS: RDS, Redshift, DMS, Glue BI & Analytics: Tableau, Looker, Power BI, Qlik Engineering: Python, Java, Scala, .NET, Shell, Git, CI/CD, GitHub Copilot, Cursor Platforms: MDM (Profisee, Riversand), ERP/CRM (SAP, Salesforce, Dynamics) ⏤ 𝗩𝗲𝗿𝘁𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 ⏤ Financial Services Healthcare & Insurance Manufacturing & Supply Chain Retail & Consumer Telecommunications Energy & Oil/Gas Federal Government Technology & SaaS ⏤ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 ⏤ Chief AI Officer: UChicago Booth ('25) Deep Learning: MIT ('24) AI-Driven Computational Design: MIT ('24) Full Stack MERN: MIT ('22) Industry 4.0: MIT ('21) Cybersecurity: UMich ('21) MS Data Science & Analytics: Michigan State ('13) BS Informatics: Indiana University ('06) Databricks Certified Trainer & Professional Data Scientist: Databricks Microsoft Certified Trainer: Microsoft Google Data Engineering Course Author: Google Oracle Cloud Architect & Big Data Black Belt: Oracle

Hi, I’m a No-Code Developer helping startups, founders, and agencies build AI-powered apps, MVPs, and automation systems quickly and cost-effectively. I specialize in turning ideas into fully functional products using tools like Bubble, Glide, Adalo, Softr, Airtable, and AI integrations such as OpenAI and Claude. If you’re looking to launch fast, validate an idea, or automate your business without the cost of traditional development, you’re in the right place. I don’t just build apps, I design systems that solve real business problems. 💡 What I Can Help You With • Build scalable web & mobile apps using Bubble, Adalo, Glide, and Softr • Create powerful backends and databases with Airtable • Integrate AI (ChatGPT, OpenAI, Claude) into your app or workflow • Automate operations using Zapier, Make, and n8n • Develop MVPs for fast validation and iteration • Build CRMs, dashboards, and internal tools • Streamline workflows to save time and reduce manual work ⚡ Why Clients Work With Me - I focus on speed, clarity, and results. - From wireframe to launch, I combine: - Smart automation strategy - Clean, user-friendly design - Scalable system architecture So you get a product that not only works but grows with your business. 🚀 Call to Action Have an idea or need to improve an existing system? Let’s talk. I’ll help you turn it into a working product faster than you expect.

I am a Business Intelligence & Analytics Engineer with 6+ years of experience helping businesses transform raw, messy data into clear insights, automated workflows, and executive-ready dashboards. My background spans business intelligence, data engineering, process automation, and operations strategy, giving me the rare ability to connect technical solutions with real business impact. ✅ What I Do Best I specialize in building end-to-end data solutions that save time, reduce errors, and empower better decision-making: 📊 Dashboards & Reporting Interactive Power BI and Tableau dashboards KPI tracking, financial & HR analytics, sales performance monitoring Drill-down reports for executives, managers, and teams ⚙️ ETL Pipelines & Data Engineering SQL, Python, Databricks, Kafka, Snowflake, Oracle, SQL Server Automated data cleaning, integration, and modeling End-to-end pipelines from raw data to ready-to-use analytics 🤖 Process Automation Payroll and compensation automation Semi/fully automated reporting systems Workflow optimization across HR, finance, and operations 🗺️ Logistics & Geospatial Analytics GIS analysis with QGIS, KNIME, Python Route optimization and cost-saving insights Delivery performance & efficiency tracking 💡 Predictive & Advanced Analytics Machine learning (predictive modeling, A/B testing) Business forecasting and “what-if” analysis Data-driven scenario planning 🛠️ Tech Stack Languages & Tools: SQL, Python, DAX, VBA, R, Java BI Platforms: Power BI, Tableau, KNIME, Alteryx Data & Cloud: Databricks, Snowflake, Kafka, AWS, Azure ERP & Ops: SAP S4HANA, SAP Predictive Analytics Other: QGIS, MS Excel (advanced automation & VBA), Oracle, MS SQL Server 💼 My Professional Background I’ve worked with Fortune 500 companies and large enterprises in the U.S., delivering BI and automation solutions that directly impacted business performance. Some highlights (generalized for confidentiality): Reduced manual workload by 80% through automated ETL pipelines. Built 20+ dashboards used by executives, HR, finance, and operations. Designed payroll automation that cut errors and saved significant costs. Optimized logistics routes using GIS, reducing costs by 30%. Managed BI tools and user access as an internal Product Owner, aligning dashboards with business goals. I’ve also presented insights to VPs and Presidents, mentored junior analysts, and worked cross-functionally with HR, finance, operations, and IT teams. 🌍 Why Work With Me? Business + Tech Blend → I’m not “just a dashboard developer.” I combine data engineering skills with business strategy understanding to create solutions that executives actually use. End-to-End Ownership → From ETL pipelines and modeling, to dashboards and automation, I handle the full lifecycle. Proven Results → Every project I deliver reduces time, saves money, or improves decision-making. Clear Communication → I’ve worked directly with executives; I can explain complex analytics in simple, actionable terms. 💡 How We Can Work Together One-time dashboard/reporting project ETL pipeline setup or data migration Compensation or HR reporting automation Ongoing BI & analytics consulting (weekly/monthly retainer) Whether you’re a startup looking for clean dashboards, an SME needing automated reporting, or an enterprise wanting end-to-end data solutions, I’ll tailor my work to fit your goals.

I help startups and growing companies turn messy data and manual operations into scalable AI and data systems that improve decision-making, automation, and revenue growth. I’ve worked with businesses across healthcare, e-commerce, marketing, and real estate to build modern data infrastructure, AI applications, and analytics platforms that teams actually rely on. I combine AI engineering, cloud architecture, and analytics expertise to deliver systems that are fast, reliable, and built for scale. Data Engineering & Cloud • ETL/ELT pipelines and orchestration • Batch and real-time data processing • Data warehouses and modern data stacks • Databricks, Airflow, SQL, and Python • AWS, Azure, and GCP architecture • APIs, webhooks, and event-driven systems Analytics & Business Intelligence • Executive dashboards and KPI reporting • Power BI, Tableau, Looker, Qlik • Superset and Metabase • Marketing, product, and revenue analytics • Centralised reporting and data visibility What Clients Typically Hire Me For • Building AI-powered business tools • Designing scalable cloud data platforms • Fixing unreliable pipelines and reporting systems • Automating manual business workflows • Creating a single source of truth for analytics • Scaling infrastructure as companies grow How I Approach Projects I focus on business impact first, not just technology. That means building systems that: • scale reliably • reduce operational friction • improve reporting accuracy • support faster decision-making • save time through automation I communicate clearly, work independently, and take ownership from planning to deployment. Why Clients Work With Me Long-Term • Strong technical and business understanding • Experience across AI, analytics, and cloud systems • Reliable delivery and long-term thinking • Ability to work with both technical and executive teams

I help businesses build fast, reliable, and automated Power BI reporting systems backed by clean Azure SQL models, Microsoft Fabric, scalable ETL pipelines, and optimized semantic models. Slow Power BI dashboards, failed refreshes, and inconsistent numbers are usually not just dashboard problems. They often come from issues in the data model, SQL layer, or ETL pipelines behind the reports. That is where I help. I design, rebuild, and optimize complete reporting systems from raw data to final dashboards turning fragmented data into fast, stable, and decision-ready Power BI solutions. My focus is simple: build and optimize end-to-end data systems that make Power BI fast, reliable, and scalable, even with complex and growing data. Results Delivered: • Reduced dashboard load times from minutes to seconds • Fixed broken refresh pipelines and unstable reports • Built end-to-end reporting systems from ETL to data model to dashboard • Created consistent KPI layers across multiple reports • Automated manual reporting workflows • Delivered dashboards used by leadership for business decisions Core Expertise: • Power BI dashboards, KPI reporting, performance tuning, and data modeling • DAX and Power Query optimization • Power BI Service setup, workspace management, and automated refresh • Microsoft Fabric, Lakehouse, Warehouse, Dataflows, and modern BI architecture • Azure Data Factory and ETL/ELT pipelines • Azure SQL, SQL Server, views, stored procedures, and reporting layers • SQL query tuning, indexing, and performance optimization • Multi-source integration including APIs, BigQuery, Snowflake, Excel, SharePoint, and databases • Star schema design, semantic modeling, relationships, and scalable reporting architecture Why Clients Choose Me: • Top Rated Plus Upwork freelancer • $50K+ earned on Upwork • 100% Job Success with consistent client satisfaction • Microsoft Certified: Azure Data Engineer Associate • 7+ years of real-world BI and data engineering experience • Strong expertise across the full data stack: ETL, SQL, modeling, and reporting • Focus on performance, scalability, and long-term reliability • Clear communication with both technical and business teams Some projects need dashboards built from scratch. Others need slow or broken reports fixed. I can help with both. Instead of treating Power BI as a standalone tool, I handle the full system behind it data pipelines, SQL models, semantic layers, refresh logic, and dashboard performance so the final solution is accurate, automated, and built to scale. Whether you need a complete reporting system from scratch or want to fix an existing Power BI setup, I can review the current gaps in SQL, ETL, data modeling, or dashboard performance and help build a solution that works reliably long term.

I build decision-ready analytics systems for small and medium-sized businesses. My work focuses on turning scattered business data into clear dashboards and reliable data models that help owners and managers understand what is actually happening in the business. Typical problems I solve: • Sales, marketing and finance data are scattered across different systems • Reports are built manually in spreadsheets • Metrics are inconsistent across teams • Management lacks a single source of truth I design analytics systems that connect data sources, structure the data, and visualize key business metrics. My core stack: • Microsoft Power BI • Data Modeling (Star Schema) • DAX • SQL (PostgreSQL, MySQL) • ETL pipelines • API integrations • Data Warehouse design Typical project workflow: 1. Connect data sources (CRM, databases, APIs, spreadsheets) 2. Build a structured data model or data warehouse 3. Implement ETL pipelines 4. Develop Power BI dashboards 5. Define KPIs and business metrics 6. Deliver a clean and scalable analytics system Before moving into BI consulting, I spent more than 10 years in business operations and sales management. This helps me understand how metrics are used for real management decisions, not just reporting. Typical dashboards I build: • Sales performance dashboards • Marketing analytics dashboards • Financial performance dashboards • Operations dashboards • Customer analytics dashboards Tools I work with daily: Power BI, DAX Studio, SQL, PostgreSQL, APIs, Python ETL. If you're looking for someone who understands both business and data — feel free to reach out.