Knowledgeable about leveraging analytical skills and a strong foundation in computer science to solve complex problems. Skilled in programming languages such as Python and SQL, with experience in data manipulation, pipeline development, and database management. Adaptable and organized, with proven time management skills and the ability to quickly learn new tools and technologies.
Key Responsibilities:
Data Pipeline Management: Maintained and optimised data pipelines using Python, SQL, Airflow, Looker, and Google Cloud Tools, ensuring the seamless flow and integrity of data across the organisation.
Project Development: Spearheaded significant projects, including the development of a Google Cloud Function to automate DAGs and the implementation of user management automation for Looker. These projects enhanced data workflow efficiency and user account management.
Automation and Efficiency: Developed a Google Cloud Function to automate the triggering of Directed Acyclic Graphs (DAGs) within a Composer environment, enhancing the efficiency and reliability of data workflows.
Technical Skill Development: Sharpened my technical skills in Python, SQL, Airflow, and various Google Cloud Tools. Gained proficiency in using Looker for data visualisation and analytics, contributing to informed decision-making across departments.
Communication and Teamwork: Enhanced communication and collaboration skills by actively engaging with team members and participating in cross-departmental projects. Built meaningful professional relationships and contributed to a supportive and inclusive work environment.
Professional Development: The placement exceeded my expectations, offering a supportive environment that fosters both personal and professional growth. Gained substantial experience in data engineering, problem-solving, and teamwork, setting a solid foundation for my future career.