Data Engineering & Pipelines
Modern pipelines, lakehouses and ETL/ELT architectures. We build robust data infrastructure and real-time ingestion systems on Spark, dbt, Airflow and cloud-native tools.
What We Do
From raw data to real intelligence — we deliver end-to-end data services that transform how your business operates, competes and grows.
Build the data backbone.
Modern pipelines, lakehouses and ETL/ELT architectures. We build robust data infrastructure and real-time ingestion systems on Spark, dbt, Airflow and cloud-native tools.
Scalable, secure multi-cloud infrastructure. We design and implement cloud-native data platforms on AWS, Azure and GCP.
Custom data products, APIs and integrations built on proven design patterns and reusable components — engineered to sit at the heart of your technology stack.
Turn data into insight.
Self-service dashboards, KPI frameworks and reporting layers that democratise data across your organisation.
Predictive models, NLP, computer vision and MLOps pipelines. We turn your data into intelligent automation.
Run it safely, observably, at scale.
Clean, robust deployment pipelines for cloud-native environments — from infrastructure-as-code to GitOps continuous delivery, ensuring fast, reliable and auditable releases.
End-to-end visibility into your data pipelines and infrastructure — detect anomalies, track data quality and monitor system health in real time.
Policies, data catalogues, lineage tracking and quality frameworks that ensure your data is trusted, compliant and audit-ready.
Selected work, with the parts you can check.
Guidance for people navigating residency, work and healthcare in a country whose language they are still learning — so every article exists in several locales at once, maintained by a team small enough that manual taxonomy work is the first thing to break.
Content platform on GCP: an admin console where screens are declared as data rather than coded, localised labels modelled as literal-or-reference so one edit propagates everywhere, and grounded search over the published corpus with citations that resolve to the sentence they came from.
We publish guidance for people working out how to live in a country whose language they are still learning, and most of them read it in something other than Czech. Keeping those versions in step used to be manual work our team could not sustain. An editor now changes something once and it reaches every language version without an engineer in the loop. For an organisation our size, that is the difference between publishing something and keeping it current.
Migrační konsorcium
In an era where it's tempting to just increase an AI token budget instead of hiring software engineers, working with Laszlo proves why the human element is irreplaceable. AI can generate code in seconds, but it takes an engineer like Laszlo to turn that code into real business impact. He isn't just someone who delivers good code—he acts as a true strategic partner throughout the entire development journey, focusing deeply on the why behind what is built to ensure the product genuinely serves the end user’s needs. When you get stuck, exhausted, or hit complex technical walls, having Laszlo by your side changes everything: he steps in, restores clarity, continuously pushes for reliable, scalable solutions, and ensures you cross the finish line successfully and on time.
Michal Švarc·Consultant