As a Data Engineer, I was responsible for ensuring the performance and efficiency of analytical queries, gaining solid expertise in data modeling and SQL query optimization. I developed experience with analytical architectures, utilizing both Data Lakes with the Medallion structure and Data Warehouses for more segmented analyses.I was heavily involved in developing data pipelines using Azure Data Factory, mapping end-to-end ETL/ELT processes. Database integration was part of my daily routine, utilizing Databricks with Spark, SQL, and Python to create efficient integration processes.Documenting activities was a consistent practice at Blueshift, essential for maintaining alignment between engineering, business, and data teams. Additionally, I contributed to developing REST APIs, NiFi ETL/ELT processes, and worked with Kafka topics, playing a role in complex and strategic projects.