As Data Engineer, I've cultivated expertise in:- Designing and maintaining robust data pipelines leveraging Airflow for orchestration.- Developing ETL/ELT scripts to efficiently process high-volume data (with Python, Pyspark and/or SQL).- Use of DBT for data transformation.- Provisioning AWS resources (including Redshift, S3, DMS, EMR, EC2) from inception to IAM configuration.- Crafting dimensional models tailored to diverse datamarts and business layers.- Writing technical documentation to ensure comprehensive understanding and maintainability of systems.- Experience with data 'architectures' such as Data lake, Data Warehouse, Data lakehouse and data marts.I also have a passion for Software engineering and DevOps, where I seek to specialize in concepts such as TDD, Clean Code, containerization, CI/CD, and monitoring/logging. I strive to incorporate these concepts into the development of my data development always seeking to learn and improve my approaches.