Analytics engineering consultant focused on building analysis-ready data models that enable clear, timely business decision-making. Designs and maintains schemas within a medallion architecture, delivering Tableau-ready datasets with consistent metric definitions and reliable downstream analysis. Works closely with data analysts to translate reporting and analytical needs into well-structured tables and partners with data engineering teams to support efficient, scalable pipelines aligned with CI/CD, data governance standards, and modern engineering best practices.

Background in analytics consulting with experience delivering end-to-end reporting solutions across HR, people analytics, and risk analysis. Proven work modelling and standardizing Workday-sourced data, automating data transformations, and building curated Tableau reports supporting employee relations, compensation, HR operations, and risk-related metrics - reducing manual reporting effort, shortening time to insight, and improving data consistency and metric reliability.

Strong emphasis on sustainable analytics through comprehensive documentation of data sources, transformations, calculations, and reporting logic, along with analyst enablement through training and reusable best-practice guides to increase self-service adoption. Contributor of technical blog posts on analytics engineering topics, including data warehousing fundamentals, modern data pipelines, and transformation best practices.

Background rooted in South Africa with professional experience in New York City, bringing an adaptable, people-centred approach shaped by work across engineering, manufacturing, childcare, and hospitality.

2025 - Present

• Designs and maintains schemas within a medallion architecture to produce analysis- and Tableau-ready datasets with consistent, reliable metric definitions.
• Translates reporting and analytical requirements into well-structured, reusable tables in close collaboration with data analysts.
• Partners with data engineering teams to support efficient, scalable data pipelines aligned with CI/CD, data governance standards, and modern engineering best practices.

2023 – 2025

• Modeled and standardized HR and people-operations data extracted from Workday reports into analytics-ready tables for downstream reporting and analysis.
• Designed and automated 10 Alteryx transformation workflows to cleanse, join, and structure source data, saving ~1 hour of manual effort per workflow and improving data consistency.
• Built curated analytics datasets for employee relations, HR operations, compensation, and agile delivery metrics, consolidating disparate inputs to reduce time to insight and streamline reporting.
• Implemented automated reporting logic for employee relations data, including missing-metric handling and trend calculations, reducing report preparation time from 3–4 days to a few hours and eliminating ~80–90% of manual effort.
• Defined standardized KPIs, health metrics, and trend logic across HR and risk-related datasets, improving metric reliability, stakeholder visibility, and reducing manual analysis by up to 60%.
• Authored comprehensive analytics documentation in Confluence covering data sources, transformations, calculations, and reporting logic, reducing onboarding and knowledge transfer time by an estimated 50%.
• Led analytics enablement through one-on-one analyst training and reusable best-practice guides, increasing self-service adoption and consistent use of standardized metrics.
• Authored technical blog posts on analytics engineering topics, including data warehousing fundamentals, modern data pipelines, and transformation best practices, contributing to internal and external analytics knowledge sharing.

Sep 2022 – Dec 2023

• Established the accuracy of current engineering by validating customer configuration management, specifications, tooling, and manufacturing processes.
• Created over 300 detailed reports in support of first-piece production per AS9102 for Boeing Commercial Aircraft, Sikorsky Aircraft, Bell Helicopter, Northrop Grumman, and more.
• Created and interpreted engineering drawings, mylars, and model-based engineering documentation.

Jan 2022 – Sep 2022

• Supported operators in the manufacturing process.
• Decreased manufacturing time by optimizing machine selection for part formation.
• Generated reports on operator efficiency to identify causes and suggest improvements.
• Investigated manufacturing issues to reduce scrap levels.
• Dispositioned non-conforming details and assemblies through MRRs (Material Review Requests).

Aug 2021 – Jan 2022

• Combined technical skills and engineering knowledge to create and assemble parts successfully.
• Acquired hands-on experience with tools, machines, and a 5-axis laser.

Master’s in Data Analysis – Western Governors University
Capstone Project: Explored how language and location influence key performance metrics using MANOVA

Bachelor’s in Mechanical Engineering – North West University (Potchefstroom, South Africa) Final-Year Project: Explored how carbon fibre rims compare to aluminium rims used in the NWU Solar Car

• Programming: Python, SQL, dbt
• Data Visualization: Tableau
• Other: Alteryx, Tableau Prep

Thanks for stopping by! Feel free to reach out or check out my work! 😄