Professional Summary
Data Engineer specializing in cloud-native ETL/ELT pipelines, data warehouse architecture, and analytics platforms across AWS Redshift, Google BigQuery, and Microsoft Fabric. Experienced in Terraform infrastructure-as-code, Python, SQL, Power BI, and Apache Superset. Founder of the Mavumium ecosystem — five production SaaS platforms whose data collectively fuels a cross-industry analytics layer focused on enriching the African business ecosystem with actionable intelligence.
Professional Experience
Founder & Lead Data Engineer
2023 – Present
Mavumium Ecosystem — Five Production SaaS Platforms, Botswana
PythonSQLAWS RedshiftBigQueryMicrosoft FabricTerraformPower BISupersetn8nOpenAIDockerCloudflare
- Designed and orchestrated ETL pipelines ingesting structured data from Excel, CSV, REST APIs, and PostgreSQL databases across five industry verticals — agriculture, construction, retail, professional services, and quotation management.
- Architected a multi-cloud data warehouse strategy connecting AWS Redshift, Google BigQuery, and Microsoft Fabric into a unified analytics layer, enabling cross-industry reporting across all five platforms.
- Provisioned complete AWS and GCP environments using Terraform IaC — VPCs, IAM roles, S3 buckets, Redshift clusters, Lambda functions, and Cloud Functions — reducing environment setup from several hours to under 20 minutes.
- Developed Power BI and Apache Superset dashboards tracking 40+ KPIs across procurement, sales operations, inventory, and revenue, delivering real-time intelligence to business operators.
- Integrated OpenAI GPT-4o into n8n automation workflows for AI-powered document processing, quotation generation, and CRM data enrichment — reducing manual processing time by approximately 90%.
- Secured all five platforms with Supabase Row Level Security, Cloudflare WAF rules, rate limiting, DDoS mitigation, CSP headers, and HTTPS-only enforcement.
- Deployed all applications on Vercel edge network with Cloudflare CDN, achieving sub-second load times globally and approximately 99.9% uptime across all production surfaces.
Cloud Data Engineering & Infrastructure
2022 – 2023
Independent Engineering Projects
PythonSQLTerraformAWSGoogle CloudMicrosoft FabricDocker
- Built modular Python and SQL ETL pipelines with dedicated extraction, transformation, validation, and loading stages, processing data from multiple heterogeneous source systems.
- Implemented Microsoft Fabric for unified analytics across hybrid on-premise and cloud workloads, connecting Azure Data Factory pipelines to downstream Power BI reporting.
- Deployed Terraform modules for reproducible cloud environments across AWS and GCP, enabling consistent infrastructure from development through production.
- Built data pipeline monitoring systems with freshness checks, anomaly detection, automated alerting, and data quality scorecards to ensure pipeline reliability.
Live Production Projects
SMEs lose deals because manual quotation creation is slow, inconsistent, and unprofessional — often taking hours when a competitor can respond in minutes. Mavumium uses GPT-4o to generate accurate, branded quotations in seconds, integrating sales workflow automation and revenue tracking into a single platform.
Next.jsSupabaseOpenAIVercelCloudflarePostgreSQL
Africa lacks a unified professional marketplace where skilled workers, tradespeople, and businesses can efficiently discover each other, reducing economic potential and leaving talent pools invisible to employers who need them. Connect Mavumium bridges this gap with structured profiles, opportunity discovery, contract work listings, and direct B2B networking.
Next.jsSupabaseTypeScriptPostHogVercel
African farmers make critical crop and resource allocation decisions with limited data, resulting in poor yield forecasting, inefficient spending, and avoidable losses. Farming Mavumium provides crop profitability calculators, AI-assisted farm planning, and data-driven recommendations tailored to local agricultural conditions.
Next.jsSupabasePythonOpenAIAWS
Construction firms lose weeks on manual pre-engineering workflows and cost estimation, delaying project approvals and increasing the risk of expensive scope changes after ground breaks. Construction Mavumium automates LOD300 BIM model generation and pre-engineering workflows, accelerating project planning and improving cost estimate accuracy.
Next.jsSupabaseAWSTypeScriptOpenAI
Small and medium businesses across Africa cannot afford specialized barcode scanning hardware, forcing them to manage stock manually and absorb the resulting errors, shrinkage, and operational delays. Scan Mavumium turns any smartphone into a real-time inventory scanner, enabling businesses to track stock levels, scan products, and manage inventory without expensive equipment.
Next.jsSupabaseCloudflarePostgreSQLVercel
Data Mission — Enriching the African Business Ecosystem
The data collected across these five platforms — spanning SME revenue patterns, agricultural yields, construction costs, professional labor market movements, and retail inventory trends — feeds directly into my data engineering and analytics stack. By aggregating, transforming, and modeling this cross-industry data through AWS Redshift, BigQuery, and Microsoft Fabric, I am building a proprietary multi-sector intelligence layer that enriches the African business ecosystem with actionable insights unavailable through any single source: from understanding what crops are most profitable by region, to identifying labor market gaps, to tracking construction cost inflation across project types. This is applied data engineering with real continental impact.