Turn Data Chaos Into Trusted Insights
Fractional Analytics Engineering teams that bring Modern Data Stack expertise to your business. We bridge the gap between raw data and business decisions.
The Missing Link in Your Data Team
Traditional data teams have a gap between infrastructure and insights. We fill it.
Data You Can Trust
No more "three dashboards showing different revenue." We build a Single Source of Truth with tested, documented data models.
Faster Time-to-Insight
Business users get self-service access to clean, pre-modeled data. No more waiting weeks for the IT department.
Engineering Discipline
Version control, testing, CI/CD, documentation — all the practices that make software reliable, applied to your data.
Why the Old Model Doesn't Work
Before
DE + DA Separation
- Data Engineer changes table structure, breaks CEO's dashboard
- Each analyst writes their own Gross Margin calculation
- 15-minute sync becomes 3-hour debugging session
- "The numbers don't match" — every Monday morning
After
Analytics Engineering
- One team owns the full data transformation layer
- Metrics defined once, used everywhere
- Automated tests catch issues before production
- Self-service analytics with governed, trusted data
Engagement Models That Fit Your Needs
From quick wins to full transformation — choose the level of support you need.
Fractional Data Team
A complete analytics engineering capability without the overhead of hiring. Your dedicated team: Lead Analytics Engineer + Data Engineer + AI-powered automation. We integrate with your Slack, join standups, and work as part of your company.
Modern Data Stack Migration
Move from legacy systems to Snowflake/BigQuery + dbt. We refactor your SQL spaghetti into clean, modular, tested data models.
Data Quality & Trust
"Three dashboards, three different numbers." We implement automated testing, alerting, and a Single Source of Truth.
Clear Separation of Responsibilities
Two specialized roles working together: infrastructure experts and business translators.
Data Engineer
Sets up the foundation. Makes sure data flows reliably, securely, and cost-effectively. You don't see their work in dashboards — you feel it when everything just works.
- Cloud infrastructure setup (Snowflake, BigQuery, Databricks)
- Data pipeline orchestration and monitoring
- Security, access control, cost optimization
- CI/CD pipelines for data deployment
Analytics Engineer
Translates business requirements into reliable data models. Speaks both SQL and business. The person who finally answers "Why don't the numbers match?"
- Data modeling and transformation (dbt)
- Metric definitions and documentation
- Data testing and quality assurance
- Self-service analytics enablement
Proven Results Across Industries
From startups to enterprises, we've helped teams trust their data.
Arabic-Optimized Data Platform
Full Modern Data Stack implementation with dbt, Azure, and bilingual (Arabic/English) data models for financial reporting.
Terabyte-Scale Analytics
Migrated legacy data warehouse to AWS with dbt-powered transformation layer. Enabled self-service analytics for 200+ users.
Financial Reporting Automation
Built complete analytics layer for investment performance tracking. Automated KPI calculations and compliance reporting.
Query Resolution Platform
Implemented analytics layer for customer service automation. dbt models power AI-driven query resolution.
Graph-Enhanced Data Models
Combined traditional dbt models with Neo4j for relationship-heavy financial data. Multi-hop queries for complex analysis.
Data Quality Framework
Built comprehensive data quality monitoring system. dbt tests + custom evaluation framework for ML pipelines.
Engineers Who Speak Business
We're not just coders who know SQL. We're the people who ask "Why?" before writing a single line of code. We've seen the same pattern dozens of times: companies drowning in data but starving for insights.
Our approach combines engineering discipline with business understanding. We use AI and automation to move fast, but we sell reliability and trust. Your CFO should never have to ask "Which number is correct?" again.
Viktor Vandriichuk
Founder & Lead Analytics Engineer
Ready to Trust Your Data?
Book a free 30-minute discovery call. We'll discuss your data challenges and whether a Fractional Data Team is right for you.