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🚀 Full Stack AI Solutions : AIOps, Data Scientist , Data Engineer , Custom App Development , SaaS Tool and Product Development, BI and Analytics Modeling . I help businesses turn raw data into actionable insights using tools like Domo, Power BI, and custom Python scripts. From API integrations to CRM automations, I ensure your data pipelines are efficient, reliable, and ROI-focused. 🌟 Client-Facing | Corporate-Trained | Certified | Highly Responsive I collaborate with startups, SMBs, and enterprise clients to design scalable BI architectures and deliver customized solutions. Whether you need to consolidate siloed data sources, automate reporting workflows, or build an interactive dashboard, I’ve got you covered! 🌟Enterprise Clients🌟 »IBM »Oreo »AARP »USAA »NASCAR »Megafood »CITI 💡 Key Expertise: Cloud Computing (AWS, Azure, GCP) Domo – Dashboard Development, Connector Integrations, Governance Power BI – Data Modeling, DAX, Embedded Analytics Python – Scripting, Automation, Data Analysis API – Integration, Custom Endpoints, Data Pipelines CRM – Setup, Integration, Data Sync (HubSpot, Salesforce, etc.) Automation – Workflow Optimization, ETL, Data Transformation ✅ What I Offer: Custom Dashboard Creation Domo, Power BI, Looker Studio, Tableau Interactive visualizations & KPIs Automated refresh & scheduling Data Integration & ETL Connecting multiple data sources (databases, APIs, third-party apps) Transforming raw data into consistent, analytics-ready datasets Cloud & Infrastructure Setting up secure, scalable cloud environments Optimizing performance & cost Python Scripting & Automation Streamlining repetitive tasks Building custom data pipelines API development & integration CRM & Sales Analytics Implementing & customizing CRM systems Lead scoring, pipeline tracking, and forecasting Advanced Analytics & Forecasting Predictive modeling & ML integration Statistical analysis & data science solutions 🔧 Services in Detail: BI Strategy & Roadmap – Evaluate current data landscape, plan optimal architecture for scalability Data Visualization & Storytelling – Transform complex metrics into clear, actionable stories for stakeholders Real-Time Reporting – Leverage streaming data for instant insights KPI & Metric Design – Identify critical performance indicators and set up robust monitoring Governance & Compliance – Ensure data security, privacy, and regulatory compliance 🥇 Certifications & Partnerships Microsoft Certified: Power BI Data Analyst Domo Certified Professional AWS Certified Solutions Architect (Associate) HubSpot & Salesforce Partner (CRM Integrations) 🌎 Industries Served: E-commerce & Retail – Inventory tracking, sales & marketing dashboards Financial Services – Risk assessment, portfolio analytics Healthcare – Patient flow analysis, HIPAA-compliant data solutions Manufacturing & Supply Chain – Operational analytics, real-time monitoring Professional Services – CRM dashboards, client management reporting 💼 Why Choose Me? Top 1% BI Expert – Delivering enterprise-grade solutions at competitive rates Result-Driven Approach – Focus on ROI, growth, and decision-making impact 6+ Years of Analytics Experience – Successful track record across various industries High-Quality Deliverables – Clean, interactive dashboards that stakeholders love Flexible & Transparent – Clear communication, agile methodologies, on-time project delivery 🤝 Ready to Transform Your Data? If you need a reliable, certified, and tech-savvy Business Intelligence professional to level up your data strategy and visualizations, let’s connect! I’m here to support you from initial consulting to deployment and beyond. Send me an invite, and let’s discuss how I can help you build a robust data ecosystem that drives real, measurable growth. 💬 Click “Invite to Job” to get started!

I spent 6 years as a digital marketer drowning in spreadsheets before I taught myself to code. Now I build the systems that would've saved my sanity: data pipelines, API integrations, dashboards, graph analytics, and AI automation for businesses that are tired of manual everything. Google Cloud Professional Data Engineer. At my last agency I migrated 100+ Google Sheets to BigQuery and built an LLM-powered analytics assistant that killed 80% of the "hey can you pull this data?" requests. I left to do this full-time because I got tired of watching businesses run on duct tape and hope. ▸ WHAT THAT LOOKS LIKE FOR YOU 15-30 hours/week of manual work, gone 80% fewer "can you pull this report?" requests Working prototypes in days, not months Everything documented, handed off, and supported for 30 days ▸ WHAT I'VE ACTUALLY BUILT (shipped and running, not mock-ups) RecNation Storage | 70 facilities, BigQuery warehouse + Claude integration 5-week sprint building a multi-source attribution layer for an RV/boat storage operator. Daily pipelines from Google Ads, Facebook Ads, CallRail (38K calls), HubSpot (228K rows across 7 objects), and Google Business Profile (104 locations). Custom GCLID attribution links 746 contacts to $5.4M in tracked LTV. Now shipping a Cowork MCP layer, their marketing team queries the warehouse in plain English from inside Claude. Imprint Digital | 8 API integrations, 5 phases approved, still going 46-KPI business scoreboard pulling from Stripe, GoHighLevel, GA4, Facebook Ads, Google Ads, Search Console, ClickUp, and QuickBooks. All automated on GCP Cloud Run. Client went from manually pulling data from 8 platforms to one dashboard. "This is all fantastic. We're in a good spot." True Interactive | 7-platform data pipeline, 19+ automated streams Advertising data pipelines for Google, Bing, Meta, LinkedIn, TikTok, Reddit, and StackAdapt. Rivery ETL into BigQuery with automated scheduling and validation. Fixed-price delivery for a 20-year paid media agency. Now scoping the AI reporting layer. Field Service Company | 38M records, 183K hidden leads Extracted 335K equipment records from unstructured text. Built a 1M-row customer database with a scoring algorithm and 9 segments. Found 183K customers who got quoted, never bought, and went dark for 2+ years. The data was sitting right there. They just couldn't see it. Legal Document Analysis | 1,000+ pages in 3 hours Privacy-first system using local AI models. Extracted 1,073 relevant sections, built evidence framework at 95% confidence. What would've taken a paralegal 15-20 hours took 3. ▸ HOW I WORK I'm a builder who happens to be good at strategy. Not a consultant who hands you a roadmap and disappears. Map your workflows. Find the quick wins. Build and prove ROI. Expand from there. Custom solutions, not duct-taped Zapier. You own everything: code, workflows, docs. No vendor lock-in. What I don't do: cookie-cutter templates, half-baked MVPs, or pretend that slapping "AI" on your business is a strategy. If automation doesn't make sense for your problem, I'll tell you. If you're sitting on repetitive processes eating your team's time, let's talk. I'll be honest about whether automation makes sense. And if it does, I'll build it. Arlington, VA | US-based, remote

𝗜 𝗱𝗲𝘀𝗶𝗴𝗻 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗱𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘂𝗻𝗶𝗳𝘆 𝗳𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗶𝗻𝘁𝗼 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲, 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗴𝗿𝗮𝗱𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲. Whether you are battling 12-hour query runtimes, migrating legacy silos, or building an AI-ready data lakehouse, I provide the architectural strategy and engineering rigor required to scale. With 20+ years of experience delivering high-stakes production systems for global brands like Apple, Overstock, and Medline, I move beyond task-based support to own your technical roadmap. As the Managing Director of ADLAB Solutions, I lead a vetted engineering bench capable of scaling delivery across Data Engineering, AI/ML, and UI/UX—ensuring your stack remains a growth driver, not a bottleneck. ──────────────────────────── 📊 THE IMPACT (By the Numbers) • 1B+ Rows modeled cleanly with 99.9% pipeline uptime. • 35% Avg. Reduction in Snowflake/Cloud compute costs through refactoring. • 150+ Dashboards delivered with 70% latency improvement. • 30+ Hours/Week saved per client through metadata-driven automation. ──────────────────────────── 🛠️ ARCHITECTURAL FOCUS AREAS • Warehouse Modernization & Migrations: Specialized in Teradata/SQL Server → Snowflake, BigQuery, or Fabric. I focus on zero-downtime cutovers and "Set-Based" design to maximize cloud-native performance. • Metadata-Driven ELT/ETL Pipelines: Building idempotent, self-healing pipelines (dbt, Airflow, Matillion, ADF). I design systems that handle schema drift automatically to protect downstream AI and BI models. • AI & Agentic Data Foundations: Architecting semantic layers for Snowflake Cortex, RAG-powered knowledge assistants, and predictive "Nowcasting" systems that combine high-frequency signals with broad benchmarks. • Analytics Engineering & BI Governance: Shipping governed Power BI, Tableau, and Sigma environments. I fix the "Broken Trust" in numbers by implementing Row-Level Security (RLS) and centralized metrics definitions. • Real-Time & Managed Services: CDC patterns for sub-minute freshness (Kafka, GoldenGate) and ongoing SLA-based infrastructure monitoring and administration. ──────────────────────────── 🎯 TRUSTED BY Apple • Teradata • Medline • Overstock • Bed Bath & Beyond • Salt Lake Bees • Poppi • Utah Jazz ──────────────────────────── ✅ THE ADLAB ADVANTAGE • Enterprise Governance: Experienced with remote workstations (VDI), M365/Google security protocols, and HIPAA/regulated environments. • Strategic Roadmap: I identify technical debt and map a cost-efficient architecture. • Managed Delivery: My team executes the build with senior-level oversight. 𝗜𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝘀𝘁𝗮𝗰𝗸 𝗶𝘀 𝗳𝗮𝗶𝗹𝗶𝗻𝗴 (𝘂𝗻𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗿𝗲𝗽𝗼𝗿𝘁𝘀, 𝘀𝘁𝘂𝗰𝗸 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀, 𝗼𝗿 𝗿𝘂𝗻𝗮𝘄𝗮𝘆 𝗰𝗹𝗼𝘂𝗱 𝗰𝗼𝘀𝘁𝘀), 𝘀𝗲𝗻𝗱 𝗺𝗲 𝘁𝗵𝗲 𝗱𝗲𝘁𝗮𝗶𝗹𝘀. 𝗜’𝗹𝗹 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝗮 𝗯𝗿𝗶𝗲𝗳 𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝘄𝗲’𝗹𝗹 𝗳𝗶𝘅 𝗶𝘁.

✅ 𝗪𝗼𝗿𝗸𝗲𝗱 𝗪𝗶𝘁𝗵: 𝗧𝗵𝗲 𝗛𝗼𝗺𝗲 𝗗𝗲𝗽𝗼𝘁, 𝗖𝗵𝗶𝗰𝗸-𝗳𝗶𝗹-𝗔, 𝗕𝗼𝘀𝘁𝗼𝗻 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽 🇺🇸 𝗨𝗦 𝗠𝗮𝗿𝗸𝗲𝘁 𝗖𝗹𝗶𝗲𝗻𝘁 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 ⌚ 𝗦𝗮𝗺𝗲-𝗗𝗮𝘆 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗧𝗶𝗺𝗲, 𝗠𝗼𝗻𝗱𝗮𝘆 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗙𝗿𝗶𝗱𝗮𝘆 ⌛ 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗦𝗮𝘃𝗲 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝟭𝟮+ 𝗛𝗼𝘂𝗿𝘀 𝗣𝗲𝗿 𝗪𝗲𝗲𝗸 𝗢𝗻 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 🎯 $𝟮𝗠+ 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱. 𝟭𝟬𝟬𝗠+ 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗔𝗻𝗮𝗹𝘆𝘇𝗲𝗱 ☑️ 𝗪𝗼𝗿𝗸 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗢𝗻-𝗧𝗶𝗺𝗲 𝗘𝘃𝗲𝗿𝘆-𝗧𝗶𝗺𝗲 🏅 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 & 𝗦𝗶𝗴𝗺𝗮 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 Hi, I’m Linus, and I help US-based SMBs turn messy, disconnected data into reliable data pipelines and reporting, so leadership can get accurate answers without chasing spreadsheets or rebuilding reports every week. I specialize in data engineering and data analytics using Snowflake, Google BigQuery, dbt, SQL, Python, Fivetran, AWS, Microsoft Fabric, Power BI, Tableau, Sigma, and APIs. I build the complete path from raw source data to usable business reporting: data ingestion, ETL and ELT pipelines, warehouse architecture, data modeling, transformations, validation, semantic layers, dashboards, and recurring reporting. My data engineering work focuses on creating reliable systems that can be maintained and trusted. My data analytics work focuses on giving leadership clear answers about profitability, customers, operations, marketing, sales, and performance. 𝗪𝗲’𝗹𝗹 𝗴𝗲𝘁 𝗮𝗹𝗼𝗻𝗴 𝗴𝗿𝗲𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂 𝘃𝗮𝗹𝘂𝗲… ✅ Reliable data pipelines instead of fragile manual exports ✅ Clear estimates and transparent communication ✅ Data models and business metrics your team can understand and audit ✅ Data analytics that helps you find revenue opportunities, control costs, and catch operational problems sooner 𝗪𝗵𝘆 𝘆𝗼𝘂 𝗺𝗮𝘆 𝗲𝗻𝗷𝗼𝘆 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗺𝗲 𝗼𝘃𝗲𝗿 𝗺𝘆 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿𝘀: • I’ll tell you what’s feasible, what isn’t, and share realistic timing. • I can work across the full data stack, from APIs, SQL, Python, and dbt through Snowflake, Google BigQuery, Power BI, Tableau, and Sigma. • I’ve worked with Fortune 500 analytics teams and hands-on SMB operators, so I can translate technical data engineering work into clear business outcomes. • I build around data quality, maintainability, documentation, and reporting people can actually trust. 𝗢𝗻𝗲 𝗥𝗲𝗰𝗲𝗻𝘁 𝗖𝗹𝗶𝗲𝗻𝘁 𝗢𝘂𝘁𝗰𝗼𝗺𝗲 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 🛒 $30M+ Ecommerce Group (Snowflake, dbt, Fivetran & Tableau) • Outcome: Saved 36 hours per week, increased profitability by 9%, and improved return on ad spend by 14%. • Deliverable: Built a Snowflake and dbt data warehouse integrating 11 systems, including Shopify, Amazon, advertising platforms, fulfillment, accounting, and customer marketing data, then delivered 5 operating dashboards. 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗳𝗼𝗿 𝘆𝗼𝘂: ✅ Data engineering and data pipeline development using Snowflake, Google BigQuery, SQL, Python, dbt, APIs, Fivetran, AWS, and Microsoft Fabric ✅ Snowflake and Google BigQuery data warehouse architecture, implementation, optimization, security, and production support ✅ ETL and ELT pipelines, API data integration, scheduled ingestion, transformation logic, and historical data tracking ✅ dbt models, testing, documentation, source staging, business logic, and curated reporting layers ✅ Data analytics, KPI design, customer analytics, profitability analysis, operational reporting, and executive decision support ✅ Power BI, Tableau, and Sigma dashboards connected to trusted warehouse and semantic-model foundations ✅ Data cleaning, validation, reconciliation, migration, fuzzy matching, and reporting-quality improvements ✅ Ecommerce data integration across Shopify, Amazon, advertising, fulfillment, accounting, and customer platforms ✅ Ongoing data engineering, analytics engineering, dashboard support, and reporting-system maintenance 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘁𝗿𝘂𝘀𝘁 𝗺𝗲: • Certified in Snowflake, Tableau, Power BI, and ThoughtSpot • Hands-on experience building data pipelines and analytics systems across datasets ranging from messy operational exports to more than 100 million transactions • Strong business background, which helps me connect data engineering and data analytics work to profitability, efficiency, growth, and better decisions If you need reliable data engineering, cleaner data pipelines, or data analytics your team can actually use, let’s connect. 📞 𝗜𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝗼𝗿 𝘀𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗱𝗶𝗿𝗲𝗰𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘁𝗼 𝗯𝗼𝗼𝗸 𝗮 𝗰𝗼𝗺𝗽𝗹𝗶𝗺𝗲𝗻𝘁𝗮𝗿𝘆 𝗰𝗮𝗹𝗹. Linus Tse

I help businesses design, build, and optimize data systems that power better decisions — from dashboards and analytics to cloud infrastructure, ETL pipelines, and AI-enabled workflows. My work spans the full data lifecycle: collecting, transforming, analyzing, and visualizing data so organizations can move from fragmented systems to reliable, scalable business intelligence. Whether you need Power BI or Looker dashboards, SQL and ETL development, cloud data infrastructure, or broader analytics support, I bring both technical depth and business-focused execution. My experience includes enterprise-scale environments such as Meta and Expedia, along with startup and SMB projects where speed, adaptability, and practical solutions matter most. Core areas of expertise: • Data Engineering: ETL/ELT pipelines, workflow automation, data architecture • BI & Dashboarding: Power BI, Looker, Tableau, KPI systems, executive reporting • Analytics: SQL, Python, business insights, product and operational analytics • Cloud & Infrastructure: AWS, Azure, GCP, BigQuery, Snowflake, Redshift • AI & Automation: LLM integrations, analytics automation, scalable data workflows I work with clients across a wide range of needs: Dashboard creation and optimization Data warehouse and pipeline development Cloud migration and modernization Marketing, product, and operational analytics Reporting systems for leadership and decision-making My approach is simple: understand the business objective, solve the technical problem efficiently, and build systems that are practical, scalable, and easy to maintain. From quick dashboard projects to long-term data transformation, I focus on delivering clean execution, strong communication, and solutions that create measurable business value. If you’re looking for someone who can bridge data engineering, analytics, BI, and cloud systems under one roof, I’d be glad to help.

I help businesses turn raw operational data into reporting systems, dashboards, and decision tools that improve visibility, reduce risk, and support better business decisions. My work combines SQL development, data warehouse design, reporting, KPI analysis, and business-focused data interpretation. I am especially effective in environments where data exists but is difficult to use, inconsistent across systems, or not yet structured for reliable reporting. I can help with: • SQL query development and optimization • Data warehouse design and ETL structure • Reporting views and business reporting layers • Dashboard development and KPI reporting • Risk analysis and performance measurement • Data quality investigation and reconciliation I also bring strong project awareness and business context, which helps ensure technical work aligns with operational goals and real decision-making needs. Where needed, I can support custom technical solutions and software-oriented problem solving as part of broader data initiatives.