20 engineering case studies across data, AI, automation and analytics, each with the problem, the architecture, and the numbers that moved.
Scaling a verification workload from ~40K to 2M+ records a day with an event-driven worker fleet
Re-architected a bottlenecked, per-request processing system into a distributed, message-driven pipeline on RabbitMQ. A fleet of stateless async worke…
Securing a university master database while modernising reporting
Moved a South-African university’s reporting stack off QlikView querying a live Oracle master DB onto Power BI fed by purpose-built data marts and an…
Hands-off SFTP-to-analytics for daily sales & stock data
An automated ELT pipeline that detects distributor files landing on SFTP, validates and homologates them, and lands analytics-ready data in S3 for rea…
Re-platforming a tier-1 banking EDW onto a cloud-native AWS warehouse
Led the migration of a major retail bank’s on-premises Enterprise Data Warehouse from Sybase to Amazon Redshift on AWS, re-engineering 800+ stored pro…
Cutting data operating costs in half with Azure Data Factory & Databricks
Re-architected the data infrastructure of a national water & wastewater utility onto Azure, using Azure Data Factory, Azure SQL and Databricks with Py…
A 3-tier AWS Glue pipeline for assessment, measurement & analysis data
Built a 3-tier data architecture on AWS for an environmental-solutions provider, using AWS Glue, S3, Redshift, Lambda and PySpark to lift data-process…
Re-architecting on-prem ETL into AWS for 80% better resource utilisation
Led a data-warehouse migration to AWS for a pan-African financial-services group, moving 20–30 ETL scripts and stored procedures onto Glue, Redshift a…
A big-data platform that cut financial-reporting errors by 50%
Operationalised a Cloudera-based big-data platform for a telecom operator’s finance function: 10 workflows and ~50 scripts across Spark, Impala, Hive…
100% API automation processing millions of records daily
Built a dynamic ETL pipeline on AWS for a sales-engagement SaaS platform, using Glue, Redshift, Apache Hudi and Athena to automate extraction of milli…
A delta-lake platform that drove $2M+ in new revenue
Designed and built a data & machine-learning platform for a publicly-listed payments processor: 20 Azure pipelines on a delta-lake architecture, proce…
Unifying 10+ banking sources for 1,000+ business users
Built a centralised Lake House data platform on Azure for a leading commercial bank: 15 Azure Data Factory & Synapse pipelines integrating 10+ sources…
The same AWS data-engineering playbook, applied to the realities of each industry and backed by the case studies above.
Data warehouse migrations, regulatory reporting and risk analytics for retail banks, payments processors and financial-services groups. Recent work includes a tier-1 bank Sybase-to-Redshift migration and a delta-lake platform that unlocked $2M+ in revenue.
Lakehouse modernisation and operational analytics for national water, wastewater and energy utilities, cutting data-platform operating cost in half while letting analytics scale to demand.
Pipeline and RFQ-operations automation for aerospace-logistics and parts suppliers, turning a five-hour manual quoting backlog into sub-15-minute automated quotes on AWS.
Distributor sales-and-stock ETL, data homologation and real-time analytics for FMCG and retail brands, including hands-off SFTP-to-analytics pipelines for Unilever distributors.
Big-data finance platforms and reporting for telecom operators: Cloudera, Spark and Hive workflows that cut financial-reporting errors by 50%.
Document intelligence, multilingual OCR and NLP analytics for healthcare, government digitisation and research, from automated form extraction to mining 50M+ posts for public-health signal.
From messy source data to analytics-ready warehouses that cut cost. Let's scope it. I reply within one business day.