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AI Engineer with 3+ years in Big Data Analytics & AI Automation
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Assessing your cultural and operational fit
An innovative and results-driven Data Engineer and Data Analyst with over 3 years of experience in big data analytics, revenue assurance, and AI-driven automation. Microsoft certified Fabric Analytics Engineer skilled in designing robust ETL/ELT pipelines, and managing complex data architectures. Recognized for delivering actionable insights and scaling data infrastructure to support global strategic goals.
National University of Science and Technology
Bachelor of Science (Hons) · Informatics
August 1, 2018 – June 30, 2022
BITE Data
Data Engineer
February 1, 2026 – Present
India
BDO Zimbabwe
Data Analyst & AI Strategist
September 1, 2022 – January 1, 2026
Harare, Harare Province, Zimbabwe
AI & Data Integrity Initiatives
September 1, 2022 – January 1, 2026
Improved quality control for the business development and Legal department. Collaborated in the development of the copilot agents used to check Government Gazette for tenders.
Telecommunications Sector Analysis
September 1, 2022 – January 1, 2026
Supported analytics for a major telecom operator, giving exposure to performance tracking. Use of scripts for revenue assurance automation of big data.
IBM Big Data Foundations Certificate
IBM
June 1, 2026 – Present
Microsoft Certified Fabric Analytics Engineer Associate
Microsoft
January 1, 2024 – January 1, 2027
Cultural Fit Analysis
The candidate has experience across different sectors (telecommunications, banking, retail) and roles (Data Analyst, AI Strategist, Data Engineer), indicating adaptability and a broad perspective. Involvement in AI governance and training suggests a proactive approach to technology adoption and a willingness to contribute beyond core technical tasks. The current role is remote/global, which implies comfort with diverse work environments. The projects demonstrate a focus on practical problem-solving and business impact, aligning with results-oriented cultures.
Soft Skills & Operational Fit
The candidate's experience in leading AI adoption initiatives and delivering AI training sessions suggests strong communication and leadership potential. Collaboration with cross-functional teams indicates good teamwork skills. The role at BITE Data emphasizes monitoring, root-cause analysis, and documentation, which are crucial for operational reliability.