I worked as an Data Engineer, which was my official role within the company. My responsibilities included creating data pipelines and ETLs using a range of technologies such as Django commands, AWS Glue, PySpark, AWS Athena, AWS Batch, and more. This involved daily use of Python, SQL, and multiple AWS services. However, I joined the company when it had fewer than 30 employees, which allowed me to take on additional responsibilities. I became involved in analyzing client data, defining business rules for entire projects, and maintaining continuous contact with clients to ensure their needs were met. Additionally, I leveraged communication and leadership skills to drive projects forward and achieve key objectives.