Expertise in SQL: You possess a deep understanding of SQL for data manipulation, querying, and performance optimization across various database systems.
Proficiency in Python: Your Python skills are crucial for building data pipelines, automating tasks, and integrating with various data sources and systems.
Strong Understanding of Data Warehousing Concepts: You have a solid grasp of DWH principles, including dimensional modeling, ETL/ELT processes, and best practices for building and maintaining a data warehouse.
Experience with Data Visualization Tools: You understand how data is used for visualization and can prepare data effectively for tools like Tableau, Power BI, or others.
Extensive Experience with Data and BI Projects: Your background indicates a proven track record of successfully contributing to and potentially leading data-centric projects, understanding the full lifecycle from data acquisition to reporting and analysis