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Dr. Farrukh Akhtar
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Confidential clientMining2026Australia

Independent audit of an enterprise Databricks Lakehouse

Led a 10-day independent audit of a global mining company's enterprise Databricks Lakehouse platform across three pillars (Ingestion, Data Governance, Technical Governance), delivering evidence-backed findings from production environment analysis of 16,000+ tables across two AWS regions and three stakeholder workshops.

Role: Lead Auditor / Principal Consultant

tables analysed across two AWS regions
16,000+
tables analysed across two AWS regions
remediation roadmap delivered
21-point
remediation roadmap delivered
from kickoff to Conditional Go
10 days
from kickoff to Conditional Go

The approach

Led a 10-day independent audit of a global mining company's enterprise Databricks Lakehouse platform across three pillars (Ingestion, Data Governance, Technical Governance), delivering evidence-backed findings from production environment analysis of 16,000+ tables across two AWS regions and three stakeholder workshops. Identified critical gaps including zero governance tagging, absent architectural target state, and stalled data transformation pipelines, corroborated by four independent sources. Delivered a Conditional Go assessment with a 21-point remediation roadmap, 7 conditional actions with defined timeframes, and a consolidated risk register accepted by client, vendor, and consulting leadership.

  • Aware SuperSuperannuation2026

    AI response evaluation framework for multi-agent RAG

    Designed an evaluation framework to systematically measure the accuracy, relevance, groundedness, and safety of AI responses generated by Aware Super's multi-agent RAG system over Azure AI Search, benchmarked against a curated golden dataset.

    quality gates evaluated: routing, retrieval, response
    3
    quality gates evaluated: routing, retrieval, response
    Azure FoundryMicrosoft Agentic FrameworkMicrosoft Evaluation
  • NSW Government (DCCEEW)Government2026

    Secure, governed Google Cloud AI sandbox

    Built a governed, security-hardened Google Cloud environment for AI/Vertex AI PoCs, fully as Terraform IaC — Shared VPC with default-deny egress + per-PoC isolation, least-privilege IAM (service-account impersonation), org-policy guardrails, IAP bastion, audit logging and cost budgets, with a reusable project factory to onboard new teams in minutes under security guardrails by default.

    to onboard a new team, guardrails by default
    Minutes
    to onboard a new team, guardrails by default
    TerraformGCP Vertex AIGCP Shared VPCGCP Cloud NATGCP IAM