About Stackvik

Built by Engineers Who Have Done This in Production

Stackvik exists because we got tired of seeing data projects fail not because of bad ideas, but because of bad execution. We build the infrastructure and AI systems that actually run.

OUR STORY

Stackvik was founded by two engineers who met through the intersection of data engineering, automotive technology, and a shared frustration with how most data projects are delivered.

On one side: a senior data engineer based in Szczecin, Poland, with over six years of production experience building ETL pipelines, data warehouses, and AI systems for logistics, automotive, and e-commerce clients across Europe. Master's in Business Intelligence from Dalarna University in Sweden. Thesis on privacy-preserving synthetic data generation. Former Senior Data Engineer and Lead Data Architect at a major European logistics and automotive data company.

On the other side: a software engineer and co-founder based in Pakistan with deep expertise in backend development, API integration, and automation systems. Together we cover the full stack from raw data ingestion through to AI-powered applications, with production delivery experience across four countries and five industries.

We founded Stackvik with one principle: every system we deliver runs in production, handles real load, and keeps running after we leave. No prototypes disguised as products. No junior engineers handed projects they are not ready for. No outsourced delivery wrapped in a senior face.

We are based in Poland, which gives us a strong operational base within the European Union, favorable conditions for serving EU clients including VAT-registered B2B invoicing, and proximity to the Scandinavian markets where much of our client work originates. We serve clients across the EU, UK, US, and Scandinavia.

What We Stand For

Our Values

RULE / 01

Production or nothing

We do not build things that are not ready for production. Every pipeline has error handling. Every scraper has retry logic. Every AI system is evaluated before deployment. If it is not ready, we say so.

RULE / 02

Honest scoping

We will tell you when a project is larger than your budget, when a simpler solution exists, or when your data is not ready for the AI you want to build. We would rather lose a project than overpromise and underdeliver.

RULE / 03

Your team can run it without us

Every system we build comes with documentation, runbooks, and observability. Our goal is for your team to operate independently after handover. We do not build dependencies. We build capabilities.

RULE / 04

Senior engineers only

Every project at Stackvik is handled by engineers with real production experience. We do not staff projects with juniors supervised by seniors. The person you talk to in the first call is the person building your system.

Our Reach

Where We Work

INDUSTRY
Automotive, logistics, e-commerce, healthcare, legal technology, national security research
GEOGRAPHY
European Union, United Kingdom, United States, Scandinavia
COMPANY SIZE
Small business to large enterprise
ENGAGEMENT TYPES
Project delivery, ongoing retainer, architecture advisory
The Team

Who You Work With

HA

Hamza Anwar

CO-FOUNDER, SENIOR DATA ENGINEER

Szczecin, Poland

EXPERIENCE
6+ years in data engineering, ETL pipelines, web scraping, and AI systems
EDUCATION
MSc Business Intelligence, Dalarna University, Sweden
SPECIALISMS
Python, Apache Airflow, dbt, Snowflake, Databricks, BigQuery, Scrapy, LangChain, n8n
BACKGROUND
Former Senior Data Engineer and Lead Data Architect at a major European logistics and automotive data company. Built production systems processing millions of parts records daily across European marketplaces.

Co-Founder

CO-FOUNDER, SOFTWARE ENGINEER

Pakistan

SPECIALISMS
Backend development, API integration, automation systems, AI agent development
BACKGROUND
Software engineer with experience building backend systems, API integrations, and automation pipelines for clients across multiple industries.
Work with us
RESPONSE TIME < 24H

Ready to build something that actually works in production?

Tell us about your data challenge. We will respond within 24 hours with a clear assessment and a practical plan.

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