Darlington Maposa

Results-oriented Data Engineer/Analyst with a robust background in Telecommunications. Proficient in designing and optimizing data pipelines to extract, transform, and load (ETL) large datasets. Experienced in leveraging data to enhance network performance, optimize resource allocation, and drive strategic decision-making. Adept at working with diverse datasets, I bring expertise in SQL, Python, data visualisation, and data warehousing technologies. My analytical mindset, combined with telecommunications domain knowledge, allows me to uncover valuable insights and contribute to the development of data-driven solutions. Eager to apply my skills in data engineering and analytics to make meaningful contributions to the dynamic field of telecommunications.

Detail-oriented and results-driven Data Engineer/Analyst with a proven track record of leveraging cutting-edge technologies to drive data-driven decision-making. Proficient in designing, implementing, and optimizing data pipelines on AWS, ensuring seamless extraction, transformation, and loading (ETL) processes. Excel in managing and analyzing vast datasets using SQL and Python, with a keen focus on data quality and integrity.

Adept at translating complex business requirements into actionable insights, I have successfully employed Power BI to create compelling visualizations that facilitate effective communication of findings to stakeholders. My expertise spans the entire data lifecycle, from raw data acquisition to the development of scalable data warehouses.

With a keen eye for process improvement, I have streamlined workflows, enhanced data accuracy, and contributed to the overall efficiency of data-driven initiatives. I am committed to staying at the forefront of technological advancements and adapting them to meet the evolving needs of the business.

Eager to bring my analytical prowess, technical skills, and AWS proficiency to contribute to dynamic data projects and drive innovation in a collaborative team environment.

Data Engineering(ExploreAI)

Armed with a solid educational foundation, my Advanced Data Engineering Certificate equipped me with in-depth knowledge of data infrastructure design and analysis, laying the groundwork for a successful career in data engineering and analytics. Courses such as Databases, Python, Big Data processing and storage, and Cloud Computing,   honed my skills and provided a comprehensive understanding of the intricacies of managing and analyzing complex datasets.

Additionally, my academic journey fostered a keen problem-solving mindset and a commitment to staying abreast of emerging technologies in the data landscape. The theoretical knowledge gained during my studies has been complemented by hands-on experience, solidifying my ability to apply theoretical concepts to real-world scenarios.