Independent data engineering.
Specialist expertise.

We help organisations build reliable data pipelines, improve performance and modernise their platforms. A boutique consultancy led by Roland Wenzlofsky, supported by a network of experienced specialists.

Based in Vienna, Austria. Working with international teams.

Stylized waterfront architecture combining Vienna and Florida

Start with the problem you need to solve

Your pipelines are unreliable

Build and improve ingestion, transformations and orchestration, with checks and documentation your team can maintain.

Data engineering and integration

Your workloads are slow or expensive

Identify the causes, agree a baseline and test changes against the workloads and operating constraints that matter.

Performance and cost optimisation

You need to choose a direction

Compare improving your existing platform with modernisation or migration. Make the assumptions and trade-offs explicit before committing.

Independent platform assessment

You are planning a migration

Address business rules, data validation, performance and operational handover alongside the technical conversion.

Migration and modernisation

Experience across source and target systems

Our published project accounts describe migration, research data engineering and enterprise reporting work. Each explains the delivery context; outcomes are specific to that engagement.

Retail warehouse migration

Teradata-to-Snowflake delivery with source-to-target reconciliation and knowledge transfer.

Read the migration account

Research data pipelines

Integration, automated validation and pipeline monitoring within a financial research team.

Read the engineering account

The platform should fit the requirements

Our capabilities span Teradata, Oracle, SQL Server, PostgreSQL, Databricks, Snowflake and Microsoft Fabric. We consider your existing systems, internal skills, workload, costs and constraints before recommending a direction.

Teradata · Oracle · SQL Server · PostgreSQL
Databricks · Snowflake · Microsoft Fabric

Vendor independence means that staying on your current platform and improving it remains a valid recommendation.

See what an assessment delivers

A boutique consultancy with a specialist network

Work with Roland Wenzlofsky to define the challenge and delivery approach. We select specialists for the skills your engagement requires, with roles and responsibilities agreed before work starts.

Roland is the founder of DWHPro and author of Teradata Query Performance Tuning. His background includes enterprise data warehousing, performance tuning and platform architecture.

A clear path from discussion to delivery

  1. Define the problem. Start with a discovery conversation about your goals, platform and constraints.
  2. Agree the engagement. Put scope, responsibilities, deliverables, fees and acceptance criteria in writing.
  3. Deliver and hand over. Review progress, validate changes and document the work for your team.

For international projects, we agree working language, meeting times and time-zone overlap before the engagement begins.

How we work with your team

Technical depth you can inspect

Read our engineering guides and practical perspectives before deciding whether we are the right fit.

Optimise or migrate? A practical decision guide

Explore all insights

Tell us what you need to improve

A short description of your platform, problem and deadline is enough to begin.

Keep learning with DWHPro

Follow practical articles on data platforms and engineering.

Follow via RSS · Read the latest articles

Newsletter signup on SendFox

If signup is unavailable, RSS keeps you up to date without email.

DWHPro

Expert network for enterprise data platforms. Senior consultants, project teams built for your challenge — across Teradata, Snowflake, Databricks, and more.

📍Vienna, Austria & Jacksonville, Florida

Quick Links
Services Team Teradata Book Blog Contact Us
Connect
LinkedIn → [email protected]
Newsletter

Join 4,000+ data professionals.
Weekly insights on Teradata, Snowflake & data architecture.