I work across the boundary between business and technology: from understanding the process and data sources, through defining logic and architecture, to building the report, automation, or internal tool that supports the day-to-day work.
About
I combine business and technical perspectives to solve the right problem — not just build another tool.
I have spent the past eight years working professionally with reporting, data, and automation in corporate environments. I combine business-process understanding with hands-on solution design and implementation, with a focus on work that remains useful, reliable, and maintainable.
My professional experience includes collaboration with functions such as finance and controlling, logistics, purchasing, and operations. That helps me look beyond the data itself to the decisions and processes it is meant to support.
I understand the process, not just the tool
I look at data sources, users, decisions, and dependencies before selecting the technical solution.
I connect reporting, data, and automation
I treat Power BI, Excel, Python, SQL, and data flows as parts of one solution rather than separate silos.
I build for maintainability
Clarity, reliability, and the ability to develop the solution further are part of the design rather than an afterthought.
Professional experience
Real processes, data, and operational constraints
I work in environments where reporting and data flows need to run repeatedly, remain understandable to users, and stay maintainable after implementation.
finance and controlling
logistics
purchasing
operations
Reporting and BI
Designing and improving reporting from source data through KPI logic to the presentation layer.
- Power BI
- Excel and Power Query
- data modelling and DAX
- operational reporting
- KPI logic and data quality
Data and automation
Building repeatable flows that reduce manual preparation work and improve process reliability.
- Python
- SQL
- ETL and data pipelines
- databases
- reporting automation
Enterprise workflows and tools
Connecting data and processes in a broader operating context without treating technology as the objective.
- SAP- and ERP-related data workflows
- data architecture
- internal tools
- integration of reporting and data layers
- solution reliability and maintainability
Process before technology
I start with where the data comes from, who uses the result, and what decision or work depends on the solution.
The smallest solution that solves the problem
I do not assume the answer is Power BI, Python, SQL, or a new system. I choose the elements that fit the actual problem and environment.
Maintainability over spectacle
Clear logic, documentation, and a simple architecture matter more than a solution that looks impressive but becomes difficult to develop later.
Direct accountability
ETLens is my expert-led brand. From problem analysis through implementation and handover, you work directly with me.
About
Real-world experience without exposing confidential information
When I describe professional experience, I deliberately separate reusable engineering lessons from confidential employer and client context. I do not publish client names, internal URLs, private data structures, proprietary architecture, confidential metrics, or business logic.
My professional experience is broader than the current ETLens offer. Areas such as SAP-related workflows, internal tools, and broader data architecture demonstrate capability but are not automatically separate services. The Services page defines the current commercial scope.