Data Analytics + Data Engineering (GCP)
Data Analytics services, from tracking to data warehouse to BI dashboards.
I’m Mirlan, a Google Cloud data engineer. I help SMBs, mobile game studios & agencies get clean marketing/product reporting, and I support data teams as a fractional data engineer who ships maintainable work.
About
I’m Mirlan, a data engineer focused on Google Cloud. I help teams turn messy tracking and scattered data sources into a reliable warehouse, clean models, and dashboards they can trust.
I work in short sprints, communicate clearly, and leave systems maintainable with documentation and handover.
Based in Oulu, Finland - working remotely with EU and US clients.
Built & operated products
Alongside client work, I build and run personal production SaaS products. This keeps me hands-on with real-world data, infrastructure, and scale.
URL shortener & UTM builder for Google Sheets with click analytics.
- Event tracking & attribution
- Postgre + analytics pipelines
- Production monitoring & billing
AI-powered photo generation & editing telegram bot.
- API-driven backend & async jobs
- Usage tracking & quotas
- Cloud-native deployment
What I deliver
Examples of what I can do for your company or project.
- Event tracking plan
- Data Warehouse model (BigQuery)
- Baseline dashboards + definitions
- Data extraction: Ads, CRM, web/app events, etc.
- Attribution-ready tables
- Weekly performance reporting
- 10–20h/week
- dbt/Dataform models, ELT pipelines
- Documentation + handover
Path A: SMBs & agencies
Data analytics infrastructure setup, reporting automation, product/marketing metrics definition and tracking implementation.
- App/web event tracking setup and plan
- Ads, GA4, backend events data extraction → BigQuery
- Cost/performance optimization of data infrastructure
- Marketing dashboards for stakeholders
Path B: Data teams
If you need an extra data engineer who can integrate into your stack, ship work, and maintain pipelines.
- dbt/Dataform modeling + testing
- Cloud Run / PubSub pipelines
- BigQuery partitioning/clustering + cost audits
- Google Cloud infrastructure maintenance
Selected work
Case studies portfolio, more by the link Work.
How I work
30–45 min call + quick audit of current stack.
Short sprints, weekly updates, measurable progress.
Docs, diagrams, ownership transfer or maintenance.
Contact
Tell me what you’re trying to achieve. I’ll respond within 1-2 business days.
mirlan@dataengineer.fi
- Your current stack (GA4? BigQuery? dbt?)
- Data sources (ads, app, backend, CRM)
- Business questions or priority metrics