I design and build enterprise-scale data platforms for regulated industries such as Banking and Healthcare, transforming fragmented systems into auditable, scalable, and cost-efficient data products.
🏦 Global Markets (RMB): Built finance reconciliation data products enabling audit-ready reporting and regulatory traceability
🏥 Healthcare Modernisation: Migrated SAP IS-H systems to Azure, processing 1.13M+ records with zero silent data loss
🏗️ Enterprise Architecture: Delivered Medallion (Bronze → Silver → Gold) lakehouse platforms with CI/CD and observability
📊 Governance & Quality: Implemented data quality frameworks and pipeline-level validation for mission-critical systems
Azure · Databricks · Fabric · Terraform ADF → Databricks Medallion → Fabric DirectLake → Power BI Infrastructure as Code (Terraform) Azure Monitor + alerting framework Cost optimisation (spot + lifecycle scaling)
Unified retail + loyalty data across channels → single source of truth for revenue and margin analytics
AWS · Kinesis · Lambda · Glue · Redshift Real-time + batch unified architecture: Streaming ingestion (Kinesis + Lambda) Batch processing (Glue + Step Functions) Serverless analytics (Redshift)
Enabled full customer behaviour visibility → improved CRM targeting and retention decisions 📊 Engineering Systems (Domain Projects)
Databricks · PySpark · Delta Lake Cash vs RADA reconciliation system: SHA-256 composite business keys Broadcast joins for optimisation MATCHED / UNMATCHED / NEW / CLEARED classification
Eliminated manual reconciliation workflows and generated audit-ready outputs daily
Kafka-style ingestion + fraud rules engine Deduplication logic for event streams Pluggable rule-based anomaly detection
Prevented duplicate processing in real-time transaction flows
SAP IS-H → Azure Chunked ETL processing Validation + rejection logging POPIA-compliant migration framework
Migrated 1.13M+ records with zero silent failures
Microsoft Fabric · PySpark 1.15M+ records processed per run PTP, recovery, settlement KPI modelling
Replaced manual reporting with automated KPI generation
Reduced reporting turnaround from 2 days → 2 hours Cut audit preparation effort by 35%. Migrated 1.13M+ healthcare records with zero silent data loss. Processed 1.15M+ financial records in single-run pipelines. Eliminated manual reconciliation through automated break detection. Optimised Azure infrastructure saving R76,000+ annually. Achieved zero duplicate transaction processing in streaming pipeline.
Cloud: Azure (ADF, Databricks, Synapse, ADLS, Fabric) · AWS · GCP
Data: PySpark · Delta Lake · SQL · Scala
Databases: SQL Server · Snowflake · Redshift · BigQuery
BI: Power BI · DAX · Tableau · Looker
DevOps: Terraform · GitHub Actions · CI/CD · Airflow
AWS Solutions Architect – Associate
Microsoft Power BI
Data Science (Python & R)
GDPR & POPIA Compliance
📍 Roodepoort, South Africa
💼 LinkedIn: LinkedIn
💻 GitHub: GitHub