Data Engineer
ML-AI Engineer
Web Developer
Data Architect
Instrumentation that surfaces failures before users report them — data quality checks, freshness thresholds, job-failure alerting, and reconciliation controls. Includes alert rationalisation to cut noise and threshold tuning so attention goes to real service-affecting conditions.
Ingestion pipelines consolidating data from SAP, ERP, POS, and API sources into SQL Server, PostgreSQL, or Snowflake. Covers onboarding, parsing, transformation, indexing, and retention across on-premises and cloud environments, with Airflow orchestration.
Advanced troubleshooting and root cause analysis across applications, databases, integrations, and infrastructure. Incident management through to closure, post-incident review, and runbook authoring that reduces repeat escalations.
Operational dashboards and automated reporting in Power BI and Tableau, built on data models designed with the people who use them. Includes performance tuning for users on constrained connectivity.
Production infrastructure on Azure, Cloudflare Workers, and Supabase — deployment topology, environment configuration, access control, and CI/CD. Includes upgrade and patch cycles, regression testing, and post-deployment verification.
Full-stack web applications built with React, Supabase, and PHP — from database schema and authentication through to responsive interfaces. WordPress sites, and REST API integrations for payments, email, and third-party services.
© 2026 Proudly Powered by Kwadwo