Cloud Data Engineer | Data & Risk Analytics BSc Computer Science, University of Pretoria

I build data pipelines and platforms that support risk analytics and predictive modeling, with a background that also covers software engineering and data science. 4+ years of experience working across the full data lifecycle: ingestion, orchestration, modeling, and the governance that keeps it all trustworthy.

flowchart LR
    A[Ingestion] --> B[Orchestration]
    B --> C[Modeling]
    C --> D[Governance & QA]
    D --> E[Risk Analytics & Predictive Models]

    A2[Source systems, raw files, event streams] -.-> A
    B2[Scheduling, dependency, incremental loads] -.-> B
    C2[Dataform / dbt, star schemas, SCD patterns] -.-> C
    D2[Data quality checks, access control, audit] -.-> D
    E2[Looker dashboards, ML risk models] -.-> E

Data Engineering (primary) Building and maintaining reliable pipelines, batch and incremental, on cloud data warehouses, with an emphasis on data quality, observability, and scale.

Data Science & Predictive Modeling Applying statistical methods and ML to turn historical data into forward-looking risk models.

Software Engineering Backend systems and services that the data platforms run on.

IT Risk & Governance Making data systems auditable and controlled, not just functional.

Languages

Platforms & tools

• LinkedIn: linkedin.com/in/ketro-sithole
• GitHub: github.com/KetroSithole