We build data infrastructure that scales.
Cloud-native Data Engineering & Architecture
for growth-stage companies.
We build data platforms on AWS & Azure for scale-ups and mid-market companies across Europe. 10+ years experience. 5 production platforms delivered.
What We Build
From raw data to production-ready infrastructure — end-to-end.
Data Pipeline Design & ETL/ELT
Robust, observable pipelines using AWS Glue, Azure Data Factory, and Apache Spark. Batch and streaming, SLA-guaranteed.
Lakehouse Architecture
Modern lakehouse patterns on Delta Lake, Redshift, and Synapse. Schema evolution, time-travel queries, cost-optimised storage.
Cloud Data Platform Builds
End-to-end platform delivery on AWS and Azure. From architecture review to go-live — we own the outcome, not just the ticket.
DevOps & IaC for Data Teams
Terraform modules, CI/CD pipelines, environment parity. Your data platform, reproducible and audit-ready.
How We Work
No endless discovery phases. We move fast and involve you throughout.
Discovery
We spend 2–4 weeks understanding your data landscape, current pain points, and growth goals. Output: a scoped architecture proposal with effort estimates.
Build
We work in 2-week sprints with async updates and a shared board. You always know what's in progress and what's next.
Handover
Full documentation, runbooks, and a knowledge-transfer session with your team. We don't disappear — ongoing support available.
What We've Delivered
Clients are anonymised — happy to share details on a call.
E-commerce Scale-up
3 days → 4h
Reporting time
Challenge
Manual reporting from 12 disconnected data sources. Analysts spending 60% of time on data preparation instead of analysis.
Solution
Unified lakehouse on AWS (S3 + Glue + Redshift). dbt transformations and a Power BI semantic layer across all business units.
Result
Reporting time cut from 3 days to 4 hours. Single source of truth across 8 business units.
SaaS Platform
−40%
Infrastructure cost
Challenge
No visibility into product usage. Data locked in operational databases with no analytics engineer on staff.
Solution
Azure-native stack: ADF + Synapse + Delta Lake. Self-service Power BI workspace deployed for the product team.
Result
Product team running their own queries within 6 weeks. Infrastructure cost 40% lower than previous vendor quote.
Fintech
<90s
Pipeline latency
Challenge
Strict audit trail requirements combined with a real-time fraud signal pipeline — with no existing data infrastructure.
Solution
Spark Structured Streaming on AWS EMR + Delta Lake for an immutable audit log. Terraform-managed, SOC2-aligned architecture.
Result
Passed first external audit. Pipeline latency under 90 seconds end-to-end.
Technologies We Work With
We're tool-agnostic — we recommend what fits your team and budget.
The People Behind the Platform
Small team. Senior people. You work with us directly.
Alina Pop
Founder & Lead Data Architect
I've spent 10+ years in the data engineering trenches — from startup ETL hacks to enterprise lakehouse migrations. WizData exists because I kept seeing the same mistakes made by good teams with no data expertise in-house. We're a small, senior team. You get the people you see on this page — not a bait-and-switch.
Florin Pop
CTO & Senior Software and Data Engineer
Hands-on engineer with deep expertise in cloud infrastructure, pipeline architecture, and software engineering. Leads the technical vision at WizData and specialises in AWS-native data stacks and DevOps for data teams.
Bogdan Sebeni
Business Development Manager
Bridges the gap between technical capability and business opportunity. Bogdan works closely with clients to understand their data challenges and match them with the right solutions.
Let's Talk
Book a free 30-minute discovery call, or drop us a message below.
Book a free discovery call
30 minutes. No pressure. We'll listen to your challenges and share whether we can help.
Schedule on CalendlyNo sales pitch — just a conversation about your data
We'll tell you honestly if we're the right fit
Based in Romania, working async-friendly across Europe
Send a message
We reply within 1 business day.