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Patrik Slechta
Experienced Data Management Architect and Leader
Patrik Slechta is a seasoned professional in the field of data management and analytics, currently working as a Managing Consultant specializing in Data Warehousing (DWH), Business Intelligence (BI), Big Data, and Analytics at Adastra Czech Republic.1 His expertise spans across various aspects of data-driven technologies and methodologies.
Professional Background
Patrik has an extensive career in the IT industry, with a strong focus on data-related technologies. His experience includes:
- Oracle Technologies: He has demonstrated proficiency in Oracle-based solutions.
- ETL and Data Integration: Slechta is well-versed in Extract, Transform, Load (ETL) processes and data integration techniques.
- Data Warehousing: He has significant experience in designing and implementing data warehouse solutions.2
- Business Intelligence: Patrik has expertise in BI tools and methodologies.2
Career Highlights
- GE Money Bank: Patrik worked as an IT Manager for Business Intelligence from January 2004 to March 2011.2
- Factory: He held the position of MIS / Data Warehouse Senior Consultant as an independent contractor/freelancer.2
- Adastra Czech Republic: Currently, he serves as a Managing Consultant, working on a freelance basis.13
Skills and Certifications
Patrik continually enhances his skill set and stays updated with the latest industry trends. Recently, he obtained a certification in Partner Training - Cloud Data Warehouse Migration from Databricks, showcasing his commitment to professional development.4
Additional Expertise
Beyond his technical skills, Patrik also has knowledge in various theoretical models and counseling processes, including psycho-dynamic, behavioral, person-centered, cognitive, and pastoral approaches.1 This diverse skill set likely contributes to his effectiveness as a consultant and leader in the IT industry.
Patrik Slechta's LinkedIn profile (username: patrikslechta) provides a comprehensive overview of his professional journey and expertise in the data management and analytics domain.
