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AI Automation Engineer with 5+ years in Business Intelligence & Data Engineering
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior BI & Analytics Engineer and AI Automation Engineer with experience delivering Business Intelligence, Data Engineering, Microsoft Fabric, Power BI, Azure, SQL Server, OpenAI, n8n, MCP, and workflow automation solutions. Skilled in building enterprise dashboards, data platforms, AI-powered analytics, voice agents, and automation systems that improve decision-making, reduce manual effort, and drive measurable business outcomes.
University of Management and Technology
Bachelor: Computer Science · Computer Science
August 1, 2018 – June 30, 2022
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Cultural Fit Analysis
The candidate has worked across diverse industries (healthcare, manufacturing, oil & gas, customs) and geographies (UK, EU, GCC, USA), demonstrating adaptability and a broad perspective. Their progression from Data Analyst to Senior BI & AI Engineer shows a growth mindset. The emphasis on AI-powered solutions and automation aligns with innovative and forward-thinking organizational cultures. The variety of tools and platforms used (Microsoft stack, Open AI, n8n) indicates a willingness to learn and integrate new technologies.
Soft Skills & Operational Fit
The candidate's resume highlights strong problem-solving skills through quantifiable achievements (e.g., reducing latency by 85%, eliminating 100% manual prep). Their experience in client-facing roles (e.g., delivering dashboards for C-suite, supporting plant managers) suggests good communication and stakeholder management. The focus on automation and efficiency aligns well with operational excellence. The remote work experience indicates adaptability and self-management.