Description

Senior Data Engineer / Analytics Engineer with 5+ years of experience designing and scaling modern data platforms that power analytics, operational reporting, and machine learning. Proven ability to partner cross-functionally with Product, Engineering, Operations, and Finance to translate business needs into reliable, well-modeled, and governed data systems. Deep expertise in cloud data platforms, ELT pipelines, SQL-first analytics, Python automation, and data quality frameworks, with a strong focus on usability, trust, and long-term scalability. Passionate about mission-driven work and building data systems that improve real-world outcomes.

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Johannesburg (up to 50km)

(Azure, Snowflake) 1Nebula
Cloud Data Engineer
July 2023 - Today (2 years and 11 months)
• • Partner closely with product, engineering, finance, and operations teams to translate reporting and analytics requirements into scalable data solutions.
• • Designed and maintained reliable ELT pipelines across ingestion, transformation, and consumption layers, improving data availability and trust.
• • Built analytics-ready datasets and models that power operational dashboards, cost modeling, and financial reporting.
• • Implemented data quality checks, validation rules, and monitoring, significantly reducing downstream reporting issues.
• • Refactored legacy pipelines into modern cloud-native architectures, improving performance by 5x and lowering operational cost.
• • Developed CI/CD workflows to ensure safe, repeatable deployments of data assets.
ETL (Extract, Transform, Load) Processes CI/CD Management Python Data integration (ETL, ELT and data warehousing) Cloud Integration
Kolabtree.com
Machine Learning Engineer /DataOps Consultant
January 2022 - June 2023 (1 year and 5 months)
• • Built end-to-end data pipelines to support analytics and machine learning use cases across multiple domains.
• • Delivered clean, validated datasets used for pricing models, predictive analytics, and decision-support tools.
• • Collaborated with stakeholders to define success metrics and translate business questions into data models.
• • Integrated data pipelines with downstream dashboards and lightweight applications.
Machine Learning Theory Python Big Data Data integration (ETL, ELT and data warehousing) Scikit-learn
Directech RSA Pty Ltd
Data Scientist - Industrial Analytics & Monitoring
January 2020 - December 2022 (2 years and 11 months)
Johannesburg, South Africa
• • Designed scalable data pipelines supporting operational analytics, forecasting, and performance monitoring.
• • Built analytics dashboards combining Python-driven insights with BI tools for leadership visibility.
• • Established foundational data governance practices, including standardized metrics and access controls.
• • Worked closely with operations and engineering teams to embed analytics into day-to day workflows.
PowerBI Microsoft Excel Python SQL