Data Analytics developer
Goodwill Phooko
Data & Analytics Developer
Midrand,GP
Summary
Dynamic Data and Analytics Developer with over three years of experience delivering enterprise-grade data solutions across diverse sectors, including mining, finance, and production. Expertise includes data architecture, master data management, ETL pipeline development, and governance frameworks, ensuring robust data integrity and compliance. Proficient in SQL Server, Python, Power BI, and cloud platforms such as AWS, with a proven track record of translating complex business requirements into scalable data strategies. An honors graduate in Electrical Engineering with a strong technical aptitude and experience in Agile environments, consistently driving the development of automated analytics solutions for informed strategic decision-making.
Overview
3
3
years of professional experience
9
9
Certifications
Work History
Senior Associate, Data Analytics
PwC South Africa
01.2024 - Current
- Delivered enterprise data solutions for mining and heavy industry clients, implementing data governance frameworks, master data management strategies, and automated ETL pipelines across 10+ ERP systems (SAP, Oracle, JD Edwards, Sage).
- Developed executive-level Power BI dashboards supporting KPI tracking and production planning. Collaborated with cross-functional stakeholders to enhance data platform capabilities while maintaining data integrity, security, and architectural standards.
- Collaborated with cross-functional teams to drive successful completion of complex projects within deadlines.
- Trained and supported new team members, maintaining culture of collaboration.
- Technical Skills: SQL Server, Python, ETL Development, Power BI, Data Governance, Master Data Management, SAP, Oracle, Data Architecture, Machine Learning, NLP
- Experience: Mining sector analytics, production environment data solutions, Agile methodology
Data Science Intern
Wits Business Intelligence Services (BIS)
11.2023 - 12.2023
- Developed machine learning recommendation system in Agile environment using AWS platforms. Implemented NLP-driven analytics and data mining techniques to extract insights from complex datasets, ensuring data security and privacy best practices.
- Technical Skills: AWS Data Analytics, NLP, Machine Learning Pipelines, Data Mining, IoT
- Experience: Agile development, data modeling
Data Engineering Intern
Wits Business Intelligence Services (BIS)
07.2023 - 10.2023
- Collaborated in Agile team of 8 on enterprise ETL and Data Lake implementation using AWS, contributing to data pipeline architecture, data quality validation, and stakeholder reporting. Implemented data integration solutions ensuring consistency and integrity across systems.
- Technical Skills: AWS (Glue, RDS, Athena), SQL, Data Warehousing, Data Lakes, ETL Pipelines
- Experience: Data architecture design, cross-functional collaboration
Education
B.Sc. Honors - Electrical Engineering
University of The Witwatersrand
Johannesburg, South Africa12-2023
National Senior Certificate - Matric
Khudunare Secondary School
12-2017
Skills
Data Architecture, Master Data Management, ETL Development, Data Governance
Python, SQL Server, Power BI, AWS, Alteryx, Machine Learning, NLP, Data analytics,Team leadership,
Finance and Insurance, Mining, Heavy Industry, Production Environments
Accomplishments
published a paper with the SAPEC conference 2024
Certification
AWS Academy Graduate – AWS Academy Data Analytics, Amazon Web Services (AWS), 2023-12
Interests
Business Intelligence
Advanced Analytics
Natural Language processing techniques
Timeline
Senior Associate, Data Analytics
PwC South Africa
01.2024 - Current
Data Science Intern
Wits Business Intelligence Services (BIS)
11.2023 - 12.2023
Data Engineering Intern
Wits Business Intelligence Services (BIS)
07.2023 - 10.2023
National Senior Certificate - Matric
Khudunare Secondary School
B.Sc. Honors - Electrical Engineering
University of The Witwatersrand
Key Competencies for Role
- Data Strategy & Architecture: Proven experience designing and implementing data strategies, enterprise data architectures, and master data management solutions across multiple industries including mining sector
- SQL Database Expertise: Advanced SQL Server proficiency for database design, query optimization, ETL development, and data pipeline management across 10+ enterprise systems
- Data Governance & Security: Strong understanding of data integrity, security protocols, privacy practices, and governance frameworks. Experience managing data definitions and authorization processes
- Heavy Industry Experience: Direct experience delivering data solutions for mining and production environments, understanding operational requirements and KPI tracking
- Agile & Traditional Methods: Experience working in both Agile sprints and traditional project environments, collaborating with cross-functional teams, collaborating with cross-functional stakeholders
- Application Programming: Technical aptitude in Python, C++, and software development with focus on translating business requirements into scalable code
- Simulation & MS Office: Competence in simulation modeling from engineering background, advanced proficiency in MS Office suite
- Leadership & Team Development: Demonstrated people management through mentoring roles and cross-functional project collaboration