Senior Data Engineer
Senior Data Engineer with 5+ years of progressive experience architecting and implementing enterprise-scale data solutions. Proven expertise in designing robust data warehouse architectures, building high-performance ETL/ELT pipelines, and leading data transformation initiatives. Specialized in cloud-native data platforms, real-time streaming architectures, and advanced workflow orchestration. Successfully migrated legacy mainframe systems to modern cloud infrastructure.
Sanlam
Led enterprise-wide data migration initiative from legacy DB2 mainframe to modern Cloudera ecosystem. Architected and implemented Data Vault 2.0 methodology using WhereScape 3D. Designed and deployed automated Spark-based ETL pipelines. Built comprehensive data ingestion framework for Cloudera-to-Snowflake migration, enabling real-time analytics capabilities. Implemented automated scheduling solutions with Automic Enterprise Scheduler. Created Information Mart layer using SAP HANA WebIDE, serving business users with sub-second query performance. • Led enterprise-wide data migration initiative from legacy DB2 mainframe to modern Cloudera ecosystem • Architected and implemented Data Vault 2.0 methodology using WhereScape 3D • Designed and deployed automated Spark-based ETL pipelines • Built comprehensive data ingestion framework for Cloudera-to-Snowflake migration, enabling real-time analytics capabilities • Implemented automated scheduling solutions with Automic Enterprise Scheduler • Created Information Mart layer using SAP HANA WebIDE, serving business users with sub-second query performance • Technologies: Apache Spark, Python, Scala, Snowflake, Cloudera, Apache Airflow, WhereScape, SAP HANA, Automic
Mindworx Consulting (Pty) Ltd
Architected and developed enterprise Python REST API for SaaS platform, serving 10,000+ concurrent users. Built advanced Spark ETL pipeline for invoice analysis. Developed machine learning models for predictive analytics, achieving 92% accuracy in house price predictions. Created intelligent RPA system using Python and UiPath for automated document processing. Led data visualization initiatives using PowerBI and Tableau for NGO crime analysis, impacting policy decisions. Implemented LSTM neural networks for financial forecasting with 85% prediction accuracy. • Architected and developed enterprise Python REST API for SaaS platform, serving 10,000+ concurrent users • Built advanced Spark ETL pipeline for invoice analysis • Developed machine learning models for predictive analytics, achieving 92% accuracy in house price predictions • Created intelligent RPA system using Python and UiPath for automated document processing • Led data visualization initiatives using PowerBI and Tableau for NGO crime analysis, impacting policy decisions • Implemented LSTM neural networks for financial forecasting with 85% prediction accuracy • Technologies: Python, Apache Spark, Machine Learning, RPA
BSc in Actuarial Science
BSc in Mathematical Science