Problem Solver
Kátai-Pál László
Areas Kátai-Pál László is Knowledgeable in:
python, machine learning, cloud based technology
Techniques Kátai-Pál László Uses:
analytics that require programming
build computational frameworks
build computational frameworks
Kátai-Pál László's Problem Solving Skills:
- Microsoft SQL Server
- ETL
- database design
- sql
- python
- data engineering
- SSIS
- spark
- databricks
Kátai-Pál László's Problem Solving Experience:
- I have built a reporting distribution framework and document centre using SQL Server, SSIS (with CozyRoc) and SharePoint that distributed 15k reports monthly. - 2014
- I have built a database of IT asset master data that served as a data enrichment source for a Moogsoft implementation (Moogsoft seeks correlations and causalities in large amounts of device events in an IT infrastructure) - 2020
- I have built an event management system in Microsoft SQL server to help manage procedural dependencies of data loads. - 2018