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Tawananyasha MtisiTM
Open to opportunities

Tawananyasha Mtisi

@tawananyashamtisi

Data Engineer and Data Analyst building scalable pipelines, ML, and dashboards.

Zimbabwe
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What I'm looking for

I’m looking for a remote-first team where I can own end-to-end data pipelines and analytics—building scalable ETL, ML/NLP, and real-time dashboards. I want work that values reliability (testing/logging) and measurable performance improvements.

I’m a versatile Data Engineer, Data Analyst, and Full-Stack Developer with a Bachelor’s degree in Big Data Analytics and 2+ years of project-based experience. I build scalable data pipelines, production web applications, and interactive dashboards, comfortable working independently in distributed, remote-first teams.

In my recent projects, I built real-time data pipelines (processing 10,000+ records/day) using Spark and Hadoop, optimized SQL for 25% better performance, and delivered machine learning models with 85%+ accuracy for classification and sentiment analysis. I also deploy dashboards in Power BI, Tableau, and Streamlit, and I back systems with automated testing (pytest) and structured logging for reliability.

Experience

Work history, roles, and key accomplishments

Lovely Professional University logoLU

Data Engineer & Full-Stack Developer

Lovely Professional University

Apr 2023 - Aug 2025 (2 years 4 months)

Built real-time data pipelines processing 10,000+ records/day, improving processing speed by 30% with Spark and Hadoop. Developed ML models with 85%+ accuracy and delivered dashboards and a full-stack platform serving 1,000+ users, including SQL optimization, automated testing (pytest), and structured logging.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

Bachelor of Computer Applications, Big Data Analytics

Grade: CGPA: 6.96/10 (69.6%)

Earned a Bachelor of Computer Applications with a Big Data Analytics focus at Lovely Professional University, graduating August 2025. Achieved CGPA 6.96/10 (69.6%).

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