Arafath Shaik

Data Quality & BCBS 239 Compliance Specialist | DAMA-DMBOK| Specialist in Enterprise Banking DQ|I turn DQ failures into regulator-ready evidence | Fixing the gap between DQ tools and regulatory reporting

Role
Data Engineer at Deloitte
Location
Hyderabad, TG, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Arafath Shaik

63% of AI projects fail because of bad data — not bad AI.(Gartner, 2025)If your AI initiative is underperforming, producing unreliable outputs, or stuck in pilot purgatory — the problem is almost never the model. It is the data feeding it.I have seen this pattern repeatedly across 4 years working hands-on in data quality and governance. Companies invest crores into AI infrastructure, hire data scientists, buy expensive tools — and still fail. Not because their AI strategy is wrong. Because their data foundation was never built to support it.What I DoI am a Data & AI Governance Consultant specializing in helping mid-market companies build AI-ready data foundations.Using the globally recognized DAMA-DMBOK framework, I audit your data environment across 5 critical dimensions:→ Ownership — who is accountable for each dataset?→ Quality — how complete, accurate, and consistent is your data?→ Lineage — can you trace exactly where every number came from?→ Compliance — are you ready for GDPR, DPDP Act, and EU AI Act?→ AI Readiness — if you feed this data into an AI model today, what breaks?You receive a clear Data AI-Readiness Score, a prioritized fix roadmap, and a board-ready report — delivered in 2 weeks.Who I Work WithMid-market companies employees) across:→ Financial Services & Fintech→ Healthcare & Life Sciences→ Retail & E-Commerce→ SaaS & TechnologyTypical clients are Heads of Data, Chief Data Officers, VPs of Engineering, and CTOs who are accountable for AI delivery and need clarity fast.What Changes After Working Together→ You know exactly why your AI is underperforming→ You have a prioritized list of fixes — not a 200-page report nobody reads→ Your team has clear data ownership and accountability→ You can show your board measurable AI readiness progress→ You are protected from regulatory exposure under GDPR, DPDP, and EU AI ActWhy DAMA-DMBOKDAMA-DMBOK is the global standard for data management — recognized by enterprises, regulators, and consulting firms worldwide. When I audit your data using this framework, you are not getting my opinion. You are getting an assessment against the same standard that Fortune 500 companies use.Currently Taking New ClientsUS · UK · Australia · Singapore · UAERemote. Fast turnaround. No long contracts. Message me directly — or book a free 20-minute discovery call below.Let\'s find out exactly what is standing between your data and your AI goals.

Experience

  1. Data Engineer

    Deloitte

    Jan 2026 — Present

Education

  • JNTUH College of Engineering Hyderabad

    Bachelor of Technology, Electrical and Electronics Engineering

    2014 — 2018

  • Ts Residential Design Service

    High School Diploma

    2012 — 2012

  • Sri Chaitanya Junior College

    High School Diploma, MPC

    2012 — 2014

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Arafath Shaik — Data Engineer at Deloitte in Hyderabad, TG, IN | Unifers