Professional Data Engineer for Scalable Data Infrastructure & Analytics

About

With a strong passion for data and technology, I bring four years of experience as a Data Engineer, specializing in the development and optimization of robust data infrastructure. My expertise includes building and managing data pipelines, designing data warehousing solutions, and utilizing data pipelining tools to streamline data workflows. I am proficient in advanced SQL and Python for effective data manipulation and integration. My skills extend to working with data lakes, Apache Hadoop, and Apache Kafka to handle large-scale data processing. Additionally, I have hands-on experience with Google Cloud Platform (GCP) for scalable cloud-based data solutions. I excel in solving complex data challenges and am committed to delivering precise and reliable engineering solutions that support your business objectives and enhance operational efficiency.

Work History

Educational Background

Studied Bachelor of Technology (Honours) in Computer Science at Harare Institute of Technology

Harare, Zimbabwe

The program teaches students how computers work and how to build software. Students learn programming, how data is shared through networks (Data Communication and Networking), and how computers are built (Computer Architecture). They also study topics like Artificial Intelligence, where computers are trained to think and make decisions, and Computer Simulation, which is about creating models to solve real-life problems. With hands-on projects and internships, students gain practical experience. Graduates can work in fields like software development, networking, AI, and more, solving real-world challenges with technology.

September 2015 - May 2019

Employment History

Data Engineer at Afrosoft

As a Data Engineer, I designed and managed systems to store and organize large amounts of data. I ensured that data moved smoothly between systems and was easily accessible for analysis. My role involved building data pipelines, setting up databases, and improving data processes to make them faster and more efficient. I worked closely with data scientists and analysts to help the business use data for better decision-making. I focused on creating solutions that could handle big data and maintained the overall system to ensure smooth operations.

January 2020 - April 2023

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