Data Engineering & Analytics Pipelines
Turn your product data into insights, automation, and real business growth
We build end-to-end analytics systems: event tracking, ETL pipelines, data warehouses, dashboards, product analytics, and decision-making tools for startups and digital businesses. Reliable data → better decisions → faster growth.
Why Data Engineering Matters for Startups
You can't grow if you can't measure
Most startups collect data — but almost none turn it into real insight. We fix that by building a clean, reliable, automated analytics foundation:
No more guessing. No more broken dashboards. No more "we don't know what's happening".
What We Build
Event Tracking & Product Analytics
A complete tracking system for your product:
- •Page views, interactions, funnels
- •Sign-up flows & onboarding
- •Feature usage
- •User journeys
- •Error tracking
- •Marketing attribution
We use:
- •Google Analytics 4
- •Supabase / Postgres events
- •Vercel Analytics
- •RudderStack / Segment
- •Sentry
- •Custom scripts for advanced events
You get clean, structured data — not a mess.
ETL Pipelines (Extract → Transform → Load)
We connect your systems into one clean source of truth:
- •CRM (HubSpot, Bitrix24, Pipedrive)
- •Payment systems (Stripe, Paddle)
- •Website & product analytics
- •Databases (PostgreSQL, Supabase, MySQL)
- •Marketing tools
- •Internal tools
Pipelines run automatically:
- •Nightly
- •Hourly
- •In real-time
You get reliable data for daily decisions.
Data Warehouse Setup
We design and deploy modern, scalable data warehouses:
- •ClickHouse — extremely fast analytics
- •BigQuery — serverless and enterprise-ready
- •PostgreSQL — ideal for startups
- •Supabase — integrated with frontend + real-time
This is where all your data lives — clean, consistent, ready for dashboards.
Dashboards & BI Systems
We build dashboards for:
- •Founders
- •Product teams
- •Operations
- •Sales
- •Marketing
We use:
- •Metabase
- •Grafana
- •Supabase dashboards
- •BI tools
- •Custom dashboards in Next.js
Dashboards show:
- •Usage metrics
- •Conversions
- •Retention
- •Cohorts
- •Revenue metrics
- •Custom KPIs
Everything you need in one place.
Predictive & Automated Insights
We add intelligence on top of your data:
- •Forecasts
- •Churn probability
- •Revenue projections
- •Anomaly detection
- •Automated weekly reports
- •Alerts for unusual patterns
This gives startups enterprise-level intelligence at a fraction of the cost.
Data Governance & Security
Built for GDPR and EU compliance:
- •Encryption
- •Access control
- •Secure environments
- •Logging & audit trails
- •Data retention policies
Your data stays protected and well-structured.
How It Works
Step 1 — Audit & Mapping
We analyze your current data, tracking, databases, and dashboards.
Step 2 — Architecture
We design the data model, pipelines, warehouse, and dashboards.
Step 3 — Implementation
We build events, pipelines, dashboards, and integrations.
Step 4 — Automation
We set up monitoring, alerts, and automated reports.
Step 5 — Continuous Optimization
We evolve your analytics as your product grows.
What You Get (Deliverables)
Typical Results
Companies usually see:
Who This Is For
Startups
You need real data to scale and raise investment.
Growing SaaS
Better funnels → better revenue → better retention.
Digital Businesses
Dashboards for management and operations teams.
E-commerce
Complete visibility of conversions, lifetime value, and cohort behavior.
Enterprises
Internal process dashboards, ETLs, BI, analytics governance.
Example Use Cases
Product Funnel Analysis
Track sign-up → onboarding → conversion → retention.
Unified Customer View
Combine product activity + CRM + payments.
Marketing Attribution
See which channels actually generate high-LTV customers.
Real-Time Analytics
Track user actions in seconds.
Operational Dashboards
Monitor productivity, tasks, internal processes, or orders.
Case Studies
FAQ
Do we need a data warehouse?
If you have more than 2–3 data sources — yes.
How long does an analytics setup take?
From 1 to 6 weeks depending on complexity.
Can you fix our existing tracking?
Yes — we fix and rebuild broken analytics systems.
What tools do you use?
ClickHouse, BigQuery, PostgreSQL, Supabase, Metabase, Grafana, custom dashboards.
Is everything GDPR-compliant?
Yes — built for GDPR compliance and German data protection standards.