Mustafa Qizilbash

Mustafa Qizilbash

Wilayah Persekutuan Kuala Lumpur, Malaysia
5K pengikut 500+ kenalan

Perihal

I am a Data and AI professional with over 23 years of international leadership…

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Artikel oleh Mustafa

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Pengalaman

  • Grafik PETRONAS Digital Sdn Bhd

    PETRONAS Digital Sdn Bhd

    Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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    Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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    Malaysia

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    Islāmābād, Pakistan

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    UAE/ Pakistan

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    Islamabad, Pakistan

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    Islamabad, Pakistan

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    Islamabad, pakistan

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    Wellington, New Zealand

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    Singapore

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    Singapore

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    Singapore

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    Singapore

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    Pakistan

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    Pakistan

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    Pakistan

Pendidikan

  • Preston Institute of Management Science and Technology

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    Masters of Computer Sciences in Information Technology

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Lesen & Pensijilan

Penerbitan

  • Lakebase

    Self

    Build systems that serve both humans and machines.

    Lakebase is the first architect-level book dedicated to Databricks’ Lakebase platform — the fully-managed, serverless, Postgres-compatible system that unifies real-time transactions, AI workflows, and analytics under a single Lakehouse-powered architecture.
    In this book, you'll learn:
    How OLTP and OLAP are converging in the modern stack
    The role of Unity Catalog in operational governance
    Branching, versioning, and deployment…

    Build systems that serve both humans and machines.

    Lakebase is the first architect-level book dedicated to Databricks’ Lakebase platform — the fully-managed, serverless, Postgres-compatible system that unifies real-time transactions, AI workflows, and analytics under a single Lakehouse-powered architecture.
    In this book, you'll learn:
    How OLTP and OLAP are converging in the modern stack
    The role of Unity Catalog in operational governance
    Branching, versioning, and deployment patterns for databases
    Real-world architectures for AI agent memory, state, and interaction
    Enterprise-grade patterns for migration, cost management, and scaling
    Whether you're a data architect, platform engineer, or AI strategist, this book will shift how you think about operational data systems — and how to build for the next 10 years, not the last 10.

    Lihat penerbitan
  • Four 4s Formula

    Self

    UNLOCK THE STRATEGIC DNA OF MODERN DATA LEADERSHIP

    Four 4s Formula is a groundbreaking framework for Chief Data Officers (CDOs), Data Leaders, and Transformation Architects who are reshaping the future of data-driven enterprises. More than a methodology, it’s a mindset—designed to bridge the persistent divide between business needs and technological execution.

    This book pays tribute to the visionaries who turn raw data into strategic advantage, enabling smarter decisions, scalable…

    UNLOCK THE STRATEGIC DNA OF MODERN DATA LEADERSHIP

    Four 4s Formula is a groundbreaking framework for Chief Data Officers (CDOs), Data Leaders, and Transformation Architects who are reshaping the future of data-driven enterprises. More than a methodology, it’s a mindset—designed to bridge the persistent divide between business needs and technological execution.

    This book pays tribute to the visionaries who turn raw data into strategic advantage, enabling smarter decisions, scalable governance, and measurable impact. It speaks directly to the analysts, architects, and innovation teams navigating the ever-evolving complexities of data products, ethical AI, and organizational change.

    Whether you’re defining your data strategy or operationalizing it at scale, the Four 4s Formula offers a structured, actionable path forward—rooted in clarity, alignment, and value creation.

    Your blueprint for building a resilient, ethical, and business-aligned data practice starts here.

    Lihat penerbitan
  • Data Engineering Technical Standards and Best Practices

    Self

    In today’s AI-powered world, data engineering is the backbone that keeps it all running.

    This book is your definitive guide to building scalable, trustworthy, and future-ready data platforms. Whether you’re designing your first data pipeline or modernizing an enterprise-grade lakehouse, this book delivers the hard-earned patterns, architectural principles, and strategic insights.

    Written by global Data & AI strategist Mustafa Qizilbash, this book goes beyond buzzwords to lay down…

    In today’s AI-powered world, data engineering is the backbone that keeps it all running.

    This book is your definitive guide to building scalable, trustworthy, and future-ready data platforms. Whether you’re designing your first data pipeline or modernizing an enterprise-grade lakehouse, this book delivers the hard-earned patterns, architectural principles, and strategic insights.

    Written by global Data & AI strategist Mustafa Qizilbash, this book goes beyond buzzwords to lay down what actually works—technically, operationally, and organizationally.

    Lihat penerbitan
  • Agentic AI and the Rise of Autonomous Intelligence

    Self

    AGENTIC AI: How Autonomous Systems Are Rewiring Work, Strategy, and Intelligence

    Agentic AI isn’t just the next step in software. It’s a seismic shift in how intelligence is designed, deployed, and scaled. From autonomous agents that plan and act, to ecosystems that collaborate across organizations—this book gives you the mental models, architectures, and ethical framing needed to lead in a rapidly evolving digital world.

    Written for IT leaders, strategists, and forward-thinking…

    AGENTIC AI: How Autonomous Systems Are Rewiring Work, Strategy, and Intelligence

    Agentic AI isn’t just the next step in software. It’s a seismic shift in how intelligence is designed, deployed, and scaled. From autonomous agents that plan and act, to ecosystems that collaborate across organizations—this book gives you the mental models, architectures, and ethical framing needed to lead in a rapidly evolving digital world.

    Written for IT leaders, strategists, and forward-thinking professionals, Agentic AI explores:

    The rise of goal-driven systems and the Agent Loop
    Frameworks like LangChain, CrewAI, and LangGraph
    Core and extended agent roles—from vision to deployment
    Real-world orchestration models and enterprise use cases
    Agent marketplaces, meta-agents, and the future of team design
    Governance, ethics, and regulatory readiness
    Human-AI symbiosis and the philosophy of intelligent systems
    This is not a hands-on coding guide. It’s a strategic map for navigating the agentic era. Whether you’re building digital departments, designing autonomous workflows, or rethinking what intelligence means at work—this book is your essential foundation.

    The future of AI isn’t just smarter. It’s more agentic. And it’s already here.

    Lihat penerbitan
  • I Am Datapedia! (Series of I Am Data!)

    Self

    I Am Datapedia! is the ultimate guide to 330 essential Data & AI topics, designed to simplify the complexities of the data world. Discussions around data often become overloaded with jargon, making them difficult to follow. This book breaks down difficult concepts into clear, concise explanations, typically spanning just a few pages, helping readers navigate the evolving landscape of Data and AI

    With this latest edition, I Am Datapedia! expands even further, thanks to the invaluable…

    I Am Datapedia! is the ultimate guide to 330 essential Data & AI topics, designed to simplify the complexities of the data world. Discussions around data often become overloaded with jargon, making them difficult to follow. This book breaks down difficult concepts into clear, concise explanations, typically spanning just a few pages, helping readers navigate the evolving landscape of Data and AI

    With this latest edition, I Am Datapedia! expands even further, thanks to the invaluable contributions of leading experts from across the data industry. Their insights have enriched this book, making it an even more comprehensive and accessible resource.

    “Empowering minds with the language of Data. The AI era isn’t coming—it’s already here. Learn or become part of history.”

    Acknowledgments
    I’m honoured to welcome two new distinguished contributors:
    Bill Inmon: Father of Data Warehousing
    Marco Wobben: Director BCP

    A special thanks to our previous edition’s esteemed contributors:
    Ahmed Fessi, Chris Tabb, Sami Syed, Daniel Lundin, Juan Varga, Marek Cernansky, and Andrew Foad—whose expertise has shaped this book into a must-have reference for data professionals and AI enthusiasts worldwide.

    Pengarang lain
    Lihat penerbitan
  • DAC Architecture

    Self

    Data & AI Cognitive (DAC) Architecture for both Data & AI Solutions.

    Lihat penerbitan
  • PVP Approach

    Self

    Productionizable Via Product (PVP) Approach

    Lihat penerbitan

Kursus

  • DAMA - CDMP

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  • PMP 5th Editon

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Projek

  • Big Data Implementation - Hong Leong Bank, Malaysia (Project Manager)

    - Kini

    Contributions:
    - Project Management: Managing End-to-End Big Data Implementation, ‘Teradata FsLDM to Data Lake’ for Hong Leong Bank, Malaysia.
    - Big Data SME Role
    - Vendor Management
    - Work with Business Users to close URS/ BRS
    - Work with IT teams to create Project Charter which includes Business & Project Objective, Budget, ROI, Project Team etc.
    - Preparation of RFP
    - Interaction with Stakeholders including Business Users, Apps Teams, Architects, Infra Teams, Security…

    Contributions:
    - Project Management: Managing End-to-End Big Data Implementation, ‘Teradata FsLDM to Data Lake’ for Hong Leong Bank, Malaysia.
    - Big Data SME Role
    - Vendor Management
    - Work with Business Users to close URS/ BRS
    - Work with IT teams to create Project Charter which includes Business & Project Objective, Budget, ROI, Project Team etc.
    - Preparation of RFP
    - Interaction with Stakeholders including Business Users, Apps Teams, Architects, Infra Teams, Security teams
    - Conduct RFP clarifications sessions
    - Conduct Proposal Presentations
    - Co-ordinate Evaluation and Scoring of Proposal among all the stakeholders
    - Prepare Working Group and Steering Committee Presentations
    - Conduct Steering Committee Session with C-Level
    - Conduct Price Negotiation
    - Co-ordinate with Vendors to close Contract and SOW
    - Management of Issues and Risks
    - Project Plan Creation and Management
    - Conduct Weekly Status Report
    - Conduct Interviews for IT Project Managers
    - Conduct Interviews for candidates with skill sets like Big Data, ETL, BI etc.

  • OCDM Implementation - Oracle Corporation/ Telenor, Myanmar (Onsite Project Manager)

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    OCDM implementation in Telenor Myanmar (Burma) on Oracle Corporation project. A pre-built BI/DWH Solution for Telecommunication industry.

  • Big Data RFP - Oracle Corporation/ Jazz, Pakistan (Onsite Project Manager)

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    Project Management and Pre-Sales activities with Oracle Corporation engagement.

  • Multiple Project - Department of Corrections, New Zealand (Solutions Manager)

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    Led teams for multiple Application and Data Warehouse projects.

  • FSLDM Upgrade - OCBC, Singapore (Tech Manager)

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    Scope was to merge GE (Great Eastern Data Model) into OCBC FSLDM.

  • RMG Mart - DBS Bank, Singapore (Sr. Principle Consultant)

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    Development activities to upgrade RMG (Risk Management Group) Data Mart.

    Technologies: DB2 (DB), Teradata (DB) and Informatica (ETL)

  • RMG Mart - DBS Bank, Singapore (Principle Consultant)

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    Development activities to upgrade RMG (Risk Management Group) Data Mart.

    Technologies: DB2 (DB), Teradata (DB) and Informatica (ETL)

  • Mart Management - Starwood Hotels & Reports Worldwide, Inc., Singapore (Data Warehouse Consultant)

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    Development activities to load and manage Data Mart of Starwood.

    Technology: SQL Server (DB), SSIS (ETL) and Cognos (BI)

  • inSight Mart - Oracle Corporation, Singapore (ETL Consultant)

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    Engaged with Oracle Corporation, Singapore where built its in-house Data Warehouse i.e. inSight.

  • inSight Mart - Oracle Corporation, Singapore (Data Warehouse Consultant)

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    Engaged with Oracle Corporation, Singapore where built its in-house Data Warehouse i.e. inSight.

Pengiktirafan & Anugerah

  • Efficiency Award

    Preston University, Islamabad, Pakistan

  • Efficiency Award

    Preston University, Islamabad, Pakistan

Bahasa

  • English

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  • Urdu

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  • Saraiki

    Kecekapan asas

  • Punjabi

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  • Pohtwari

    Kemahiran kerja terhad

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