Senior AI/LLM engineer for enterprise teams. Built a system that saved 40 hrs/week of expert time by automating knowledge retrieval across 23 years of project data. I build for production, not demos. How I Can Help You Scale: ✅ AI Agent Development & Generative AI: I ship production-grade multi-agent systems, RAG pipelines, and agentic workflows using LangGraph, LlamaIndex, Claude, and GPT-4. I design the full intelligence layer: memory architecture, retrieval logic, orchestration, and evaluation frameworks and guardrails. ✅ Data Engineering & ETL/ELT: I architect clean, scalable data warehouses in Snowflake, Microsoft Fabric, and Redshift. My pipelines built with Apache Airflow, dbt, and Airbyte are designed to be reliable, well-documented, and maintenance-free. I have delivered full Microsoft Fabric medallion architectures from Bronze through to Gold and the Semantic Model layer for enterprise clients operating across multiple countries. ✅ Machine Learning & Predictive Analytics: From 15-year demand projections for industrial firms to stock return pipelines analysed over 23 years of market data, I turn raw numbers into high-conviction forecasts. My models combine econometric rigour with modern ML to handle real-world uncertainty, not just clean benchmark datasets. ✅ Business Intelligence & Dashboards: I create BI-ready semantic models and intuitive dashboards in Power BI, Looker Studio, and Apache Superset, connected to production-grade data models underneath, not spreadsheets dressed up as dashboards. Why Clients Work With Me: ✅ I have worked across carbon markets, fintech, non-profits, supply chain, SaaS, and logistics. I understand the domain before I touch the stack, not just the tools. ✅ I operate as an individual engineer, technical lead, or AI product manager depending on what the engagement needs. ✅ My work is clean and well-documented. I communicate in plain English, so I embed into teams without friction and hand over systems that do not fall apart after I leave. I am available for project-based builds or ongoing retainer engagements. Drop me a message with a rough description of the problem you're solving, and let's collaborate!

I help companies turn fragmented data into trusted analytics used by leadership and operations. I specialize in building modern data platforms, from ingestion to analytics, using dbt, SQL, cloud data warehouses, and BI tools. My work focuses on clarity, correctness, and business impact, not just pipelines. What I typically help with: Designing scalable analytics engineering layers (dbt, dimensional modeling) Building and optimizing ELT pipelines into Snowflake / BigQuery / Redshift Creating trusted metrics and dashboards for leadership and operations Improving data quality, testing, and CI/CD for analytics Migrating legacy reporting to modern data stacks I work closely with stakeholders to translate business questions into clean data models and actionable insights. If you need analytics that people actually trust and use, let’s talk.

I help companies go from scattered data and inconsistent reporting to a reliable, scalable analytics layer built on Google Cloud Platform, powered by dbt, and delivered through Looker. For long term projects, happy to offer a FREE 1 week period of work, let's call it probation period. My results are faster queries, trusted metrics, and dashboards that business teams actually rely on. Let's have a free 30 mins call to discuss your needs, possibilities and data challenge. I'm Peter , a Top Rated Plus (top 3%) Certified Data Engineer (+ Analytics Engineer) with over 9 years of experience transforming complex data into actionable insights for global clients and start ups across finance, hospitality, SAAS, eCommerce, and tech. I specialize in building scalable data solutions that reduce costs, accelerate decision-making, and unlock new revenue streams. My experience: - Worked with leading organizations like KPMG, Savings United, IU Group, aleno, Andela, and the World Bank to define, maintain and optimize their data solutions. - Cut data processing time and operational costs by 20 percent through optimized pipelines and optimized queries and data storage techniques. - Helped a hotel SaaS platform unlock a new revenue stream via client-facing analytics leading to a paid embedded dashboard revenue stream. - Built and tracked KPIs that improved business steering and day-to-day execution delivered timely, cheaply and reliably. Tech & Tools I work with: GCP (BigQuery, Cloud Functions, Cloud scheduler, Cloud Logging, IAM, Compute Engine, Billing and optimization), AWS, Looker (Semantic layer, LookML,Looker API, administration, migration, setup, training, costs, looker embed, pdts), Power BI, Alteryx, dbt, dlt, Python, SQL, REST APIs, Airbyte, Airflow, Docker Some of my Certifications: Project Management Professional (PMP) - Project Management Institute (PMI) Google Cloud Professional Data Engineer Responsible AI with Google Cloud Generative AI Fundamentals – Google What I Deliver: - Automated, scalable pipelines to replace error-prone manual processes - Insightful dashboards and metrics that fuel performance and decision-making - Machine learning integrations and fraud detection solutions - Clear, timely communication and documentation - Google Looker setup, development, optimization and administration - Collaboratively leading agile teams towards accurate, timely and impactful data solutions. Clients consistently rate my work 5 stars for delivering high-quality, high-impact data solutions with a collaborative mindset. Whether you need a short-term fix or a long-term data strategy partner, I bring enterprise-grade quality to the Upwork platform. Let’s connect and discuss how I can help you leverage your data for strategic advantage.

I help Retail, SaaS, Manufacturing, Healthcare, FinTech, and Construction/Engineering companies turn raw data into AI-driven decisions, predictive insights, and scalable analytics systems. Over the past 10 years, I’ve delivered data platforms, AI models, and BI solutions that have reduced inventory errors by 30%, improved forecast accuracy, lowered operational overhead, and enabled real-time decision-making for 50+ brands. Core Expertise 1. AI & Machine Learning Forecasting, Churn/LTV modeling, Pricing optimization, Underwriting risk models, NLP/LLM insights, Predictive maintenance. 2. BI & Decision Intelligence Power BI, Looker, Tableau dashboards; KPI frameworks; semantic modeling; executive reporting; self-service analytics. 3. Cloud Data Platforms & Architecture Snowflake, Redshift, BigQuery, Azure Fabric; DWH design; data lakes; scalable data modeling; performance optimization. 4. Data Engineering & Automation ETL/ELT pipelines, dbt, ADF, Airflow, API integrations, data quality frameworks, orchestration, CI/CD for data. 5. Strategic Analytics Consulting Roadmaps, architecture reviews, reporting frameworks, improving data maturity, identifying revenue/efficiency opportunities. Why Clients Choose Me • 10+ years experience across 6 global industries • Quantified business results from real-world implementations • Clear communication + fast execution • Ability to scale delivery via a small, specialized engineering & analytics team • AI-first approach to modernize analytics, reduce inefficiency, and unlock growth • Transparent documentation, clean architecture, and long-term maintainability If you need a partner—not just a freelancer—to architect, engineer, and deploy high-impact analytics or AI systems, I can help. Let’s build something that delivers measurable outcomes, not just dashboards. Ready to turn your data into a competitive advantage? Message me or invite me to your job posting — I respond within a few hours.

I build the systems that run underneath a business — data platforms, automation, and the AI layer that ties them together. I think in systems, not scripts: how the whole thing fits, what to build vs reuse, and where it breaks at scale. What I build Real-time and streaming data platforms for SaaS and fintech, where latency and reliability actually decide things AI systems and agents on top of that data — that summarize, decide and act, not just draw a chart Automation that pulls from messy sources, reasons with an LLM, and produces the finished output end to end RAG knowledge bases that give an AI real context on a business Recent work (names withheld) Multi-year managed real-time platform for a forex/CFD brokerage — 10-node ClickHouse, Kafka and CDC, tens of millions of events Real-time analytics rebuild for a European e-commerce analytics company, architected for 100x growth, with sub-5-second dashboards Data backbone for a fast-growing AI startup BigQuery to ClickHouse migration for a US lead-gen business Clients range from enterprise-scale operations to venture-backed startups, including one that's raised hundreds of millions Where I come in Pipelines that have quietly stopped scaling Batch reporting that needs to run in real time An AI system that needs to sit on real, reliable data Several data sources and no unified architecture How I work Architecture first, code second Reliable under real load, properly monitored, and still maintainable a year later Pragmatic about tools — the tool is never the point, the system is Stack Data & warehouses: Snowflake, BigQuery, ClickHouse, Postgres Streaming: Kafka, CDC, event-driven pipelines Engineering & orchestration: Python, dbt, Airflow, Dagster, Prefect AI: Claude, OpenAI, Gemini, RAG, vector databases, MCP Cloud & ops: AWS, GCP, Docker, Grafana, Prometheus If you're building a real-time data platform, an AI system that needs to sit on real data, or scaling pipelines that have started to hurt — tell me what your setup looks like and I'll map out how I'd approach it.

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 build data warehouses that run faster and cost less. One client went from a $4,000 monthly bill to $40, with query times dropping from 84 hours to 2. I help SaaS companies, agencies, and data-heavy startups move off slow, expensive setups and onto Snowflake, BigQuery, and dbt pipelines they can actually trust. 𝐒𝐨𝐦𝐞 𝐨𝐟 𝐰𝐡𝐚𝐭 𝐈'𝐯𝐞 𝐬𝐡𝐢𝐩𝐩𝐞𝐝: ▸ Migrated 250 million records from PostgreSQL to Snowflake for a B2B data platform. Monthly cost fell from $4,000 to $40, query time from 84 hours to 2. ▸ Built the dbt and Snowflake pipeline behind an influencer dashboard serving Nike, Under Armour, and New Balance. Adding New Balance lifted annual revenue by $1.8M. ▸ Rebuilt the reporting layer for a coaching platform with 100,000 users, taking dashboard refresh from 4 to 6 hours down to near real time. ▸ Scraped 10,000+ restaurant outlets across DoorDash, Uber Eats, and Grubhub at over 98% success rate, feeding clean order data into BigQuery. 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐞𝐥𝐢𝐯𝐞𝐫: ✔ ETL and ELT pipelines (Python, SQL) ✔ Cloud data warehouses (Snowflake, BigQuery, Redshift) ✔ Data migration and data modelling ✔ dbt transformations and Airflow orchestration ✔ Data ingestion (Fivetran, API integration) ✔ Web scraping and data extraction at scale (10,000+ sources, 98%+ success) ✔ Cloud infrastructure (GCP, AWS, S3, Lambda) ✔ Analytics and BI-ready datasets I'm a Google Certified Professional Data Engineer with a master's from Georgia Tech and 8+ years across these stacks. If your warehouse is slow or your bill keeps climbing, send me your current setup and I'll send back a FREE audit showing where the cost and time are going, and what I'd change first. SEE YOU IN CHAT!

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐟𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐝𝐞𝐚𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐛𝐫𝐨𝐤𝐞𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐬𝐥𝐨𝐰 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. I’m a Senior Data Engineer with 10+ years of experience building cloud data platforms, ETL/ELT pipelines, lakehouses, warehouses, and analytics-ready data layers using Microsoft Fabric, Snowflake, AWS, BigQuery, dbt, Python, SQL, Airflow, Fivetran, Airbyte, and Databricks. My focus is not just moving data from point A to point B. I design reliable data systems that are automated, scalable, well-modeled, and trusted by business teams. 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Lakehouse, Warehouse, Dataflows Gen2, pipelines, notebooks, semantic models, Medallion architecture, and Power BI-ready data layers. ✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, and Azure Synapse architecture. ✅ 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 API ingestion, database replication, SaaS integrations, file ingestion, batch jobs, incremental loads, and scheduled workflows. ✅ 𝐝𝐛𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Staging, intermediate, marts, incremental models, tests, documentation, metric definitions, and business logic standardization. ✅ 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 Airflow, Dagster, AWS Lambda, Glue, Step Functions, ADF, CI/CD, monitoring, retries, alerts, and production workflow automation. ✅ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Deduplication, reconciliation, schema drift handling, validation rules, MDM, Golden Record logic, RBAC, access control, and audit-ready reporting layers. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a centralized Fabric platform with Lakehouse, Warehouse, Dataflows, pipelines, semantic models, and Power BI reporting layers for a global organization with fragmented reporting sources. 𝐍𝐞𝐚𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Designed operational pipelines into Snowflake with incremental ingestion, schema change handling, deduplication, retries, and reliable dbt-based reporting models. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐒𝐚𝐚𝐒 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤 Centralized HubSpot, Stripe, GA4, Google Ads, Salesforce, MongoDB, and product data into BigQuery/Snowflake using Fivetran, Airbyte, dbt, Dagster, and Metabase. 𝐋𝐞𝐠𝐚𝐜𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 Led migrations from SQL Server, SAP BW, Oracle, Hadoop, and on-prem systems into modern cloud warehouses with optimized performance and automated workflows. 𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Built automated workflows using S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, and Python to reduce manual reporting and improve pipeline reliability. 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 Microsoft Fabric, Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, PostgreSQL, SQL Server, Oracle, SAP BW, Hadoop, dbt, Python, SQL, Airflow, Dagster, Fivetran, Airbyte, ADF, SSIS, Talend, AWS S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, Power BI, Tableau, Metabase, and Looker. You should reach out if you need a senior data engineer to: ✅ Build a cloud data warehouse or lakehouse ✅ Migrate legacy systems to Snowflake, Fabric, BigQuery, or AWS ✅ Fix unreliable ETL/ELT pipelines ✅ Design dbt models and trusted reporting layers ✅ Automate manual reporting workflows ✅ Integrate APIs, CRMs, ERPs, databases, and SaaS platforms ✅ Build production-ready data infrastructure for analytics and BI If your data stack is messy, slow, or hard to trust, send me a message. I’ll help you map the cleanest path from scattered systems to a reliable data platform.

Your ad platforms GA4 and business performance dashboards shouldn't tell three different stories. I fix the complete GA4 GTM Advertising Pixels measurement stack from website tracking to BigQuery data warehouse reporting & dashboarding. 💰 Over $80K+ earned across global clients. 📈 113+ completed Upwork projects successfully delivered. 🏆 Maintained a pristine 100% Job Success Score. ⭐ Proudly holding official Top Rated status. Helping marketing/advertising agencies ecommerce brands SaaS Businesses growth marketers and lead-generation teams build website tracking setups they can trust. I am a Web Analytics & Server-Side Conversion Tracking Specialist with Analytics Engineering expertise (GCP BigQuery SQL Python dbt Looker Studio/Tableau/Power BI). I build and repair end-to-end web & marketing analytics implementations including GA4, Google Tag Manager, Server-Side GTM tagging Consent Mode v2 and Marketing/Advertising pixels namely Meta Pixel CAP, Tiktok Pixel & Events API to pull marketing data sources into GCP BigQuery, clean and process them into a reliable single source of truth and deliver them into Looker Studio reporting dashboards enabling advertising teams/ad specialists and business owners to trust the numbers and grow. 𝙍𝙚𝙨𝙪𝙡𝙩𝙨 𝙄 𝙗𝙪𝙞𝙡𝙙 𝙖𝙣𝙙 𝙙𝙚𝙡𝙞𝙫𝙚𝙧 𝙛𝙤𝙧 𝙨𝙘𝙖𝙡𝙞𝙣𝙜 𝙚-𝙘𝙤𝙢𝙢𝙚𝙧𝙘𝙚 𝙗𝙧𝙖𝙣𝙙𝙨 & 𝙜𝙧𝙤𝙬𝙩𝙝 𝙖𝙜𝙚𝙣𝙘𝙞𝙚𝙨: • Recovered 15–40% of conversion signals lost to iOS, ITP, ad blockers and Consent Mode misconfigurations • Cut GA4 event duplication and tag bloat by up to 60% with clean scalable dataLayer architecture • Raised attribution accuracy with Server-Side Conversion APIs across Google Ads, Meta Ads, LinkedIn Ads and TikTok Ads • Connected marketing data with BigQuery to create a single source of truth • Turned hours of manual monthly reporting into automated Looker Studio dashboards powered directly by clean BigQuery data modeling 𝙒𝙝𝙖𝙩 𝙄 𝙝𝙖𝙣𝙙𝙡𝙚 𝙚𝙣𝙙-𝙩𝙤-𝙚𝙣𝙙 Web Analytics & Conversion Tracking 𝑮𝒐𝒐𝒈𝒍𝒆 𝑨𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔 4 (𝑮𝑨4) • GA4 Setup & Migration • GA4 Audit & Debugging • Ecommerce Tracking • Enhanced Ecommerce • Custom Events & Conversions • Funnel & Cross-Domain Tracking • GA4 DebugView Validation 𝙂𝙤𝙤𝙜𝙡𝙚 𝙏𝙖𝙜 𝙈𝙖𝙣𝙖𝙜𝙚𝙧 (𝙂𝙏𝙈) • Complete GTM Implementation • dataLayer Design & Development • Custom JavaScript & Events • Form Scroll, Video & Click Tracking • Tag & Trigger Audits & Debugging 𝗦𝗲𝗿𝘃𝗲𝗿-𝗦𝗶𝗱𝗲 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 • Server-Side GTM (sGTM) on Stape & Cloud Run • First-Party Data Collection • Facebook Pixel Conversion API • Meta Conversion API (CAPI) & Google Ads Enhanced Conversions • Event Deduplication & Cookie Strategy 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝗧𝗿𝗮𝗰𝗸𝗶𝗻𝗴 • Google Ads, Meta, TikTok, LinkedIn, Pinterest, Microsoft and Snapchat Conversion APIs & Pixels 𝗖𝗼𝗻𝘀𝗲𝗻𝘁 & 𝗣𝗿𝗶𝘃𝗮𝗰𝘆: • Google Consent Mode v2 • OneTrust Usercentrics Cookiebot • GDPR & CCPA Compliance 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 Shopify • Shopify Plus • WooCommerce • WordPress • Magento • Webflow • Framer • HubSpot • Custom Websites 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗕𝗜 (𝗗𝗮𝘁𝗮 𝗟𝗮𝘆𝗲𝗿 𝘁𝗼 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲): Reliable tracking deserves reliable data. Once measurement is accurate I help transform data into trusted analytics for reporting and decision-making. 𝗟𝗼𝗼𝗸𝗲𝗿 𝗦𝘁𝘂𝗱𝗶𝗼 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 & 𝗕𝗜 𝗥𝗲𝗽𝗼𝗿𝘁𝗶𝗻𝗴 • Facebook Ads Performance Report • Google Ads Performance Dashboards • Facebook Ads & Google Ads Dashboards • GA4 Website Traffic Dashboard • Google Analytics 4 KPI Dashboard • HubSpot Marketing Performance Dashboard • Google Search Console Performance Dashboard • SQL & dbt Modeling • Marketing Data Warehouses & GA4 BigQuery Export • BigQuery Data Modeling: SQL transformations, dbt staging/intermediate/mart layers, table partitioning, clustering and cost optimization • GCP Cloud Orchestration: Workflows using Cloud Run, Cloud Functions, Pub/Sub and Cloud Scheduler • Automated ETL / ELT Pipelines: Ingesting data from GA4, Shopify, ad platforms and CRMs into Google Cloud Platform 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 Many freelancers install tags and many engineers build data warehouses. Very few own the entire stack. I bridge marketing analytics and engineering, connecting your GTM and Server-Side tracking directly to BigQuery and dashboards so your data ecosystem works seamlessly. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 • Google Cloud Professional Data Engineer • Google Analytics Individual Qualification (GA4) • Meta Certified Marketing Developer • OneTrust Consent & Preference Management Expert • CXL Digital Analyst, GTM BigQuery & Looker Studio If your analytics aren't telling the truth your marketing budget is making decisions in the dark. Send me your website and your goals and I'll identify what's working what's broken and the fastest path to accurate, trustworthy measurement today!

✅ 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