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Data Architect | Full-Stack Attribution: Segment ➔ Appsflyer ➔ Mixpanel ➔ BigQuery ➔ Looker Studio I architect end-to-end data pipelines that turn fragmented user interactions into a single source of truth. My expertise lies in the technical implementation of the Modern Data Stack, moving beyond basic tracking to building robust ETL/ELT workflows. Core Technical Workflow: Data Collection & Orchestration: Full-stack Segment implementation (Protocols & Functions) to centralize data streams from web and mobile. Mobile Attribution: Expert AppsFlyer configuration, including SDK event mapping, OneLink smart scripts, and cost-aggregation. Behavioral Analytics: Advanced tracking in Mixpanel and Amplitude to monitor complex conversion funnels, retention cohorts, and user journeys. Data Warehousing: Automating data pipelines from Segment/Mixpanel into BigQuery for advanced modeling and long-term storage. Visualization: Engineering high-fidelity Looker Studio dashboards that sync directly with BigQuery to track CAC, ROAS, and LTV. By bridging the gap between raw tracking and warehouse-level reporting, I ensure your marketing spend on Google Ads and Meta Ads is backed by 100% accurate, multi-touch attribution.

You're stuck. Not because you need more marketing. Not because you need more ad spend. Because you're missing something you can't see. I find it. I fix it. *** I help founders, agencies, and growing companies uncover hidden bottlenecks, eliminate them, and build systems that scale. Over the past 12+ years, I've helped startups and enterprise brands, including Toyota North America and Sanofi, improve growth, attribution, automation, and operational efficiency. Recent Results • Reduced Toyota North America CPL by 40% while increasing lead quality by 25% • Built a system that generated an $847K qualified pipeline in 90 days • Increased attribution accuracy from 40% to 94% • Rebuilt tracking, reporting, and marketing systems that companies rely on to make confident decisions Problems I Solve Growth strategy and executive audits AI agents and business automation Paid media (Google, Meta, DV360, Trade Desk, Amazon DSP) Advanced analytics (GA4, GTM, Server-side, CAPI) Attribution and executive dashboards Marketing automation and APIs Custom AI workflows Vector databases and RAG systems CRM integrations Landing pages and conversion optimization Executive reporting systems If your team knows something is wrong but can't pinpoint it: let's talk.

I help businesses build accurate, reliable, and scalable analytics infrastructures across web and app environments. With 6+ years of experience in Web Analytics, I specialize in advanced tracking implementations, attribution debugging, and conversion measurement using GA4, Google Tag Manager, Server-Side GTM, Google Ads tracking, Meta Pixel, Meta CAPI, Firebase, AppsFlyer, BigQuery, and Consent Mode V2. My work is focused on one main goal: helping businesses trust their data. I can help you with: GA4 setup, audit, migration, and debugging Google Tag Manager implementation Server-Side GTM setup and optimization Meta Pixel and Conversions API implementation Google Ads conversion tracking and Enhanced Conversions Consent Mode V2 implementation Ecommerce tracking and purchase event debugging DataLayer architecture and specifications Firebase and app analytics tracking AppsFlyer attribution and OneLink setup Cross-domain and subdomain tracking BigQuery export and analytics validation Tracking audits and measurement strategy Common problems I solve: Missing or duplicated conversions Incorrect revenue or ecommerce data GA4 and Google Ads discrepancies Broken Meta attribution Poor Event Match Quality Consent banner and tracking conflicts Cross-domain tracking issues Incomplete dataLayer implementation Unclear attribution between web, app, and ad platforms Over the years, I have worked with agencies, ecommerce businesses, fintech companies, crypto projects, pharmaceutical brands, education companies, iGaming businesses, and high-traffic websites. I have also been involved in large-scale GA4 migrations, advanced server-side tracking setups, app tracking projects, and complex attribution debugging. My approach is technical, structured, and business-oriented. I don’t just install tags — I help you understand what is being tracked, why it matters, and whether the data is reliable enough for reporting, optimization, and decision-making.

♦ Losing revenue from failed payments? ♦ Delayed reporting and weak gateway visibility? ♦ Processor fees and checkout friction reducing profit? I help ecommerce brands automate payment operations, approval-rate reporting, and dashboard systems so they can catch problems faster, recover more revenue, and make better decisions with confidence. I build connected systems across automation, data dashboards, and ecommerce reporting, with a strong focus on payment operations and approval-rate optimization for brands using platforms like CheckoutChamp and Shopify. 𝗪𝗵𝗮𝘁 𝗜 𝗵𝗲𝗹𝗽 𝗲𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗯𝗿𝗮𝗻𝗱𝘀 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 ♦ Approval-rate monitoring and decline analysis ♦ BIN-level and gateway-level performance tracking ♦ Best-gateway logic for declined payment reprocessing ♦ Reprocessing timing strategy based on performance patterns ♦ Processor fee validation and bank statement review ♦ Threshold tracking for negotiated commission reductions ♦ Checkout payment-method analysis for Apple Pay, Google Pay, Afterpay, Klarna, and similar options ♦ 3DS reporting strategy for countries or flows where stronger authentication can improve payment success ♦ Executive dashboards that show exactly where revenue is leaking ♦ Payment routing visibility and gateway comparison reporting ♦ Revenue reporting across funnel, country, product, and processor segments 𝗖𝗼𝗺𝗺𝗼𝗻 𝗼𝘂𝘁𝗰𝗼𝗺𝗲𝘀 𝗜 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 ♦ Fully automated dashboards with no manual exports or cleanup ♦ A reliable source of truth across payment, funnel, and ops reporting ♦ Faster diagnosis of approval-rate drops by product, BIN, gateway, country, or funnel ♦ Better decline-recovery workflows with logging and status tracking ♦ More informed processor and checkout decisions based on performance and cost data ♦ Cleaner reporting for leadership, operations, and finance teams ♦ Reduced manual work through stable, documented automations 𝗖𝗼𝗿𝗲 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 ♦ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 — API pulls / exports → processing → storage → dashboard ♦ 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 𝐎𝐩𝐬 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 — approval rates, declines, gateway trends, processor performance, BIN/country/product/funnel analysis ♦ 𝐃𝐞𝐜𝐥𝐢𝐧𝐞-𝐑𝐞𝐜𝐨𝐯𝐞𝐫𝐲 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 — scheduled reprocessing flows with best-gateway logic and logging ♦ 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐨𝐫 𝐂𝐨𝐬𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 — review of processor statements, fee validation, and commission-threshold tracking ♦ 𝐂𝐡𝐞𝐜𝐤𝐨𝐮𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 — analysis for alternative payment methods, 3DS usage, and conversion-impact decisions ♦ 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 — recurring dashboards for ecommerce operations, payment monitoring, and revenue visibility 𝗥𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀 ♦ 𝐏𝐚𝐲𝐦𝐞𝐧𝐭 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝 — built an automated reporting pipeline from checkout platform to warehouse to dashboard so leadership could quickly diagnose approval-rate changes across BIN, gateway, funnel, product, and country ♦ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐑𝐞𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐃𝐞𝐜𝐥𝐢𝐧𝐞𝐝 𝐏𝐚𝐲𝐦𝐞𝐧𝐭𝐬 — built a scheduled decline-recovery workflow using best-gateway logic, logging, and status tracking, saving about 14 hours per week compared with manual handling ♦ 𝐀𝐏𝐈 → 𝐆𝐨𝐨𝐠𝐥𝐞 𝐒𝐡𝐞𝐞𝐭𝐬 → 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 — built automated reminders with stop-logic after confirmation ♦ 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 that improved consistency, reduced manual exports, and made daily payment monitoring easier for decision-makers 𝗧𝗼𝗼𝗹𝘀 𝗜’𝗺 𝘀𝘁𝗿𝗼𝗻𝗴𝗲𝘀𝘁 𝗶𝗻 ♦ Google Apps Script ♦ BigQuery ♦ Looker Studio ♦ Google Sheets ♦ Make automation ♦ Zapier ♦ CheckoutChamp ♦ Shopify ♦ n8n 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝘀𝘁𝘆𝗹𝗲 ♦ Async-friendly ♦ Clear documentation and handoff ♦ Built for maintainability, not just quick fixes ♦ Structured around accurate reporting, operational visibility, and long-term usability Message me with: ♦ your platform stack ♦ the payment/reporting metrics you must track ♦ how often you want updates I’ll suggest the cleanest automation and reporting approach for your budget.

Experienced Full-Stack Developer, Digital Marketer, and Technical Support Specialist with a strong background in web development, IT support, and business integrations. Proficient in a wide range of technologies, including HTML, CSS, JavaScript, Python, SQL, React, and Vue.js, as well as digital marketing platforms like Google Ads, SEO, and Analytics. With a track record of providing Tier 2 support at Google and Microsoft, I excel in solving complex technical issues, optimizing system performance, and implementing automation solutions to enhance business efficiency.

High-performance digital growth requires more than just standard marketing strategy; it demands engineering-grade execution. Most marketing agencies optimize campaigns on "blind data." I do the opposite. I am a Technical Growth Architect specializing in building clean, deduplicated tracking systems and advanced search campaigns that make your ad spend deterministic, not experimental. As the founder and lead developer at StratDigi Pros, I handle the technical execution that standard marketing setups miss. Common Problems I Fix for E-commerce & SaaS Brands: Attribution Gaps: Discrepancies between Meta Ads Manager and Triple Whale ROAS (consent updates, broken browser-to-server CAPI connections, or cookie tracking leaks). Tracking Double-Counting: GA4/GTM setups that over-report purchase events by 20%+, causing bidding algorithms to optimize for bad traffic. GMC Suspections: Compliance audits to resolve Google Merchant Center Next "Misrepresentation" suspensions and get product feeds approved. My Core Technical Stack: Tracking Plumbing: Server-side Google Tag Manager (sGTM), GA4 event taxonomies, Meta Conversion API (CAPI), and offline CRM data loops (HubSpot, Salesforce). Search & Paid Ads: Structuring Google PMax (Performance Max) asset groups, keyword deduplication, and Meta campaign scaling. Cloud Infrastructure & Scripts: Deploying custom data pipelines within Google Cloud Console and writing Python/Apps Script automations to bypass rigid platform limits. If you have a tracking discrepancy or want to verify your Google Ads setup is ready to launch safely, let's chat.