Data Architect, Data Management Consultant, Data Analyst, Data Warehouse Consultant

I have been working for more than 15 years in international data engineering, warehousing and analytics projects (both on-prem and cloud-Azure or AWS). Over this time I have hold various roles like data and analytics engineer, data modeler or data architect. I used to interact with business and very technical stakeholders. In my work I always want to understand 'as-is' and 'to-be' solution for effective and high quality delivery of a solution or end product. Therefore, I put a lot of focus on effective communication and interaction with co-workers (very important for remote work scheme) or data analysis. I also like to deep dive into technology used during projects to get the best out of them.
As a data and analytics engineer I worked with various dwh technologies (Snowflake, Teradata, SAP Hana, SQL Server, Oracle), ETL/ELT pipelines languages (like SQL, Python, Bteq, Stored Procedures, C#, PowerShell, REST API, Jinja recently), and ETL/ELT tools (DBT, Data Stage, AbInitio, Informatica PowerCenter, getting familiar with Databricks and Coalesce). I have also performed many optimizations for SQL code, physical/logical data model, or load sequence. I have also trained and lead a group of data engineers. In the analytics environment I am skilled in tools like  MicroStrategy or Metabase.
As a data modeler I worked with Erwin and SAP Power designer for modeling semantic/business logical and physical layers for BI or data science usage. I have good knowledge of Kimball, Inmon or Data Vault modeling techniques, and follow new trends like Unified Star Schema.
As a data architect I took part of re-designing of a data warehouse for Data Vault architecture, worked with various scheduling tools (like ActiveBatch, AbInitio, Control-M, recently getting familiar with Airflow), implemented Data Quality Governance end-to-end (testing, DQ dashboard, Monitoring), or supported migration projects from legacy systems to new platforms.