Martin V.

Looker & BigQuery Expert | SwiftUI iOS Apps | Claude AI Automation | Founder @ RavenCoreX Since 2019 I've helped U.S. SaaS, retail & media companies migrate legacy BI stacks to Google Cloud + Looker, cut BigQuery spend by up to 40%, and deliver dashboards 4× faster. In parallel, I've spent 3 years building iOS apps with SwiftUI — from real-time audio transcription to personal finance engines — all shipped to the App Store. I run RavenCoreX, an AI-native tech studio where I build both the data layer and the mobile layer of products. One example: LKMind, a platform for automated Looker + BigQuery analysis using AI agents and Claude. Another: NotarIA, an iOS meeting intelligence app with real-time transcription, Claude-powered summaries, and StoreKit 2 subscriptions — live on the App Store. Credibility at a glance: • 6,353 Upwork hours – 100% Job Success – Top Rated Plus • $100K+ earned delivering end-to-end data platforms • Hands-on with Looker Standard, Enterprise, GCP Core & Studio • 3 iOS apps in production: NotarIA (App Store), BeMoney, FunnyOuts What I deliver — Data & Analytics: 1. Migrations – Redshift / SQL Server / SSRS → BigQuery + Looker (30+ dashboards moved) 2. AI-powered reporting – Claude-generated commentary wired into Looker Studio or Looker dashboards 3. Performance & cost optimisation – PDTs, datagroups, slot tuning (saved $72K/yr for last client) 4. AI agent pipelines – systems that read data context, generate and review LookML/SQL automatically 5. Governance & security – role-based models, CI/CD with Terraform What I deliver — iOS / SwiftUI: 1. Apps from scratch – SwiftUI + Firebase + Claude AI, built to App Store submission 2. AI features – Claude API integration, on-device Apple Translation, AssemblyAI transcription 3. Monetisation – StoreKit 2 subscriptions, RevenueCat, freemium paywalls 4. Backend integration – Firebase Auth, Firestore, Cloud Functions, GCP 5. Real-time features – WebSocket streaming, AVAudioEngine, live transcription Toolbelt: Data: BigQuery • Looker (all editions) • Looker Studio • LookML • dbt • Airflow • Terraform • Python iOS: SwiftUI • Swift • SwiftData • Firebase • StoreKit 2 • Claude API • AssemblyAI • Xcode AI: Claude API • n8n • AI agent orchestration Typical engagements: • 🔍 Looker Health-Check (2 wks) – performance audit + action plan • 🤖 AI Reporting Setup (1–2 wks) – connectors + Looker Studio templates + Claude commentary • 📱 iOS App Build (6–12 wks) – SwiftUI + Firebase + AI features + App Store submission • 🚀 Pipeline Build (4–6 wks) – GCS → BQ → Looker Studio with CI/CD & docs 👉 Click "Invite to Job" or book a paid discovery call (credited toward the project).