Cloud Data Pipeline Platform
End-to-end ETL platform built on GCP — ingests multi-source telemetry, transforms with PySpark on Dataproc, and serves analytics dashboards via BigQuery.
GCPPySparkBigQueryAirflow
Data Scientist & Cloud Architect
Leslie Munyaradzi Magoronga
MSc Data Science graduate with expertise in machine learning, cloud solution architecture, DevOps, and full-stack Python development. Building intelligent systems that bridge data and impact.
Bremen, Germanylesliemagoronga@gmail.com+49 162 321 2467
Career
Work Experience
Tokyo Streets
Part-TimeIT & Software Developer · Bremen, Germany
- Developed and managed the restaurant's website and IT infrastructure
- Integrated service and kitchen systems, optimizing order processing and reducing wait times
- Provided technical support for POS systems with real-time synchronization
- Automated order tracking and reporting, improving operational efficiency
BRIGE GmbH
Full-TimeBackend Data Engineer · Hamburg, Germany
- Developed automated processes for stock forecasting, replenishment and demand prediction using Python
- Managed databases and data pipelines for inventory optimization
Forestry & Citrus Research
StartupChief Technology Officer · Harare, Zimbabwe
- Identified valuable data sources and automated collection processes
- Implemented DevOps culture and Agile Software Development in Cloud Solution Architecture
- Ensured package reliability by writing tests with PyTest, achieving 85% coverage
- Led technology research and development initiatives
Capital Foods Pvt Ltd
Full-TimeBranch Manager · Gweru, Zimbabwe
- Designed and implemented ETL pipelines, improving data processing efficiency by 40%
- Optimized database performance, reducing query times by 65% (6s to 2s)
- Integrated ERP, WMS, and POS systems, reducing data discrepancies by 50%
- Developed real-time data streaming with Kafka, reducing data latency by 80%
- Automated inventory forecasting, reducing stockouts by 30% and overstocking by 25%
Selected Work
Featured Projects
A snapshot of projects spanning data engineering, machine learning, cloud architecture, and product development.
ML Forecasting Service
Time-series forecasting microservice for demand prediction. Trained with scikit-learn and Prophet, deployed as a FastAPI container on Cloud Run with CI/CD.
PythonFastAPIscikit-learnDocker
DevOps Infrastructure Toolkit
Reusable Terraform modules and GitHub Actions workflows for provisioning secure, observable workloads across AWS and GCP environments.
TerraformGitHub ActionsAWSKubernetes
Tokyo Streets Website
Designed and developed the restaurant's digital presence on WordPress — custom theme styling with CSS, integrated service and kitchen systems, optimized order processing, and automated order tracking and reporting.
WordPressCSSPHPIT Infrastructure
Academia
Education
Oct 2022 — May 2024
Constructor University Bremen
Bremen, Germany
Master of Science in Data Science for Society & Business
Python & R ProgrammingMachine LearningDeep Learning & Neural NetworksNatural Language ProcessingData Visualization & Storytelling
Aug 2016 — Jul 2020
Chinhoyi University of Technology
Chinhoyi, Zimbabwe
BSc Hons in Animal Production & Technology
BioinformaticsGenetic EngineeringBiotechnology
Best graduating student in Bioinformatics
Toolkit
Technical Skills
Programming
PythonJavaSQLMySQLRShell/BashCSSHTMLC#
Data Science
Scikit-LearnTensorFlowNLTKPandasSeabornMatplotlibNumPyPySparkPyTorch
Web & Cloud
DjangoWordPressGCPAWSAzure
DevOps & Tools
GitGNU MakeDockerPyTestUnityUnreal Engine
Databases
MongoDBPostgreSQLMySQL
Languages
EN
English
Native
DE
German
A1
Recognition
Achievements & Certifications
2023–2024President of Constructor University Bremen's Graduate Students Association (GSA)
2022Complete Python Developer – Zero to Mastery
2022Spark and Python for Big Data with PySpark
2022Associate Cloud Engineer | Google Africa Developer Scholarship (GADS)
2022POTRAZ Hackathon Award 2022 Edition – Zimbabwe
2021Section24 Scholarship – Certified Data Analyst - USA
Get in Touch
Let's Build Something Together
I'm always open to discussing data science projects, cloud architecture, or innovative tech opportunities.