Dr Emmanuel Ogungbemi

Head of Data Engineering | I help you improve your productivity with data and AI

From being a data analyst to leading the development of data pipelines, my journey in data engineering and analytics has been both challenging and rewarding.

When I began my career in data, I faced the daunting task of turning vast amounts of raw data into actionable insights.

The problem? Many organisations struggle with fragmented data and inefficient processes.

Here's how I tackled these challenges and built a successful career in data:

1. Crafted Data Solutions: Designed and implemented a Common Data Platform, ensuring seamless data integration and access.
2. Led Innovative Projects: At NATS, I contributed to the world's first AI system for air traffic control, utilising digital twinning and machine learning.
3. Developed Future Talent: Shaped data science and engineering education at Multiverse by developing comprehensive curricula for degree-level apprenticeships.
4. Consulted on High-Impact Projects: Provided AI and data science consultancy for industry giants like BP, Sword and Chaucer (now BIP UK), driving data-driven decision-making and innovation.

Now, I'd like to talk about you.

Are you aspiring to become a successful data analyst/data scientist/data engineer but need help figuring out where to start?

Here's a roadmap to guide you:

1. Master the Fundamentals:
- Learn key programming languages like Python and SQL.
- Understand data structures, algorithms, and database management.

2. Gain Practical Experience:
- Work on real-world projects to apply your skills.
- Use tools like Power BI and Tableau for data visualisation.

3. Join the Community:
- Participate in data science forums and attend industry events.
- Network with professionals to exchange knowledge and opportunities.

4. Continuous Learning:
- Stay updated with the latest trends and technologies in data analytics.
- Take advanced courses to deepen your expertise.

To help you get started, I've created a comprehensive Data Analyst Roadmap that outlines the essential steps and resources you need to succeed.

Join my email list to register your interest in my free Data Analyst Roadmap.

You have the potential to excel in the data industry, and I'm here to support your journey.

Let's connect and share our experiences in data engineering and analytics!

Head of Data Engineering

I'm excited to share an invaluable resource: the Data Engineer Interview Guide by Simplilearn!

Preparing for a data engineering interview can be daunting, but this comprehensive guide has got you covered. 

Whether you are a fresh graduate or an experienced professional, this document provides a detailed overview of the key questions and answers you can expect in a data engineering interview.

Key topics include:
- Understanding the role and responsibilities of a data engineer
- Differences between data engineers and data scientists
- Key skills required for data engineering, including SQL, Hadoop, and Python
- Essential frameworks and applications for data engineers
- Commonly asked interview questions and how to answer them
- Practical tips for handling job-related crises and real-world scenarios
- Insights into data modelling, ETL processes, and working with big data in cloud environments


Enhance your interview preparation and stand out from the competition with this detailed guide!

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- Save to revisit down the road
- Add your comment!

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Talks about #data, #kindness, #interviewtips, #selfimprovement, and #careertransition

Data Engineering Intro

I help you break into data science and AI with practical tips, real-world insights, and the latest trends.

SQL Introduction Handnotes

The real secret to becoming a data professional isn't technical skills—it's storytelling.

Here's how narrative trumps numbers.

When I first entered the world of data, I was captivated by the endless possibilities that numbers could unlock.

But soon, I realised something crucial: data alone doesn't speak.

It's the story you weave around it that truly makes an impact.

Let me explain how you can harness the power of storytelling in data:

1. Understand Your Audience
  ↳ Tailor your narrative to resonate with the specific needs and interests of your audience.
  Whether you're speaking to executives or data enthusiasts, adjust your story accordingly.

2. Find the Human Element
  ↳ Data is ultimately about people.
  By highlighting the human impact, you make your insights relatable and actionable.

3. Create a Compelling Narrative Arc
  ↳ Like any good story, your data-driven narrative should have a clear beginning, middle, and end.
  Start with the problem, introduce the data, and conclude with actionable insights.

4. Simplify Complex Data
  ↳ Great storytelling involves breaking down complex data into understandable and engaging segments.
  Use visuals and analogies to make your points clear.

5. Inspire Action
  ↳ Your story should lead to a call to action, encouraging your audience to make informed decisions based on your insights.
  
Remember, data storytelling isn't just about presenting facts—it's about driving change.

By mastering the art of storytelling in data, you transform from a mere analyst to an influential data storyteller.

And the best part?

Anyone can learn this skill.

So, are you ready to craft stories that drive data-driven decisions?

Start weaving your narrative today.

Excited to share an insightful resource: MLlib: Scalable Machine Learning on Spark by Xiangrui Meng and collaborators!

This comprehensive guide explores the powerful capabilities of MLlib, Spark's scalable machine learning library.

It covers everything from basic algorithms to advanced machine learning techniques, making it an essential resource for data scientists and engineers looking to leverage Spark for large-scale data processing and analysis.

Key topics include:
- Overview of MLlib and its integration with Apache Spark
- Machine learning algorithms: classification, regression, clustering, and collaborative filtering
- Practical examples and implementations of logistic regression, k-means clustering, and ALS
- Performance comparisons and scaling properties of MLlib
- New features and updates in MLlib v1.x
- Integration with other Spark components like Spark SQL, Streaming, and GraphX


Unlock the full potential of machine learning with MLlib on Spark and take your data projects to the next level!

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- Add your comment!

Why I believe the future of data engineering lies not in new tech but in teaching empathy and communication.

I started in data engineering with the belief that the latest tech would solve every problem.

That mindset shifted.

Here's why: it's not just about the tools.

It's about understanding the humans behind the data.

In my journey from data analyst to data engineering leader, I've learned that the hardest problems aren't technical.

They're human.

When I was tasked with transforming raw data into insights, I quickly realised that many organisations were drowning in fragmented data.

Not because they lacked technology, but because they lacked communication.

→ Data was siloed.

→ Teams didn't talk to each other.

→ Processes were inefficient.

So I focused on:

1. Building Bridges: I brought together diverse teams, ensuring everyone understood the data's value and purpose.

2. Teaching Empathy: I encouraged my team to see data not just as numbers but as stories with human impact.

3. Enhancing Communication: I led efforts to develop clear channels and languages for data discussions, making complex insights accessible to all.

It wasn’t just about algorithms.

It was about collaboration.

About understanding the fears and hopes of those who rely on the system.

When we embrace empathy and communication, we transform data from a static resource into a dynamic force for change.

We give it life.

The future of data engineering won't be about the flashiest tools.

It will be about the human touch.

So here's my challenge to you:

Focus on the human side of data.

Ask more questions.

Listen more.

Let's build a future where data brings us together, not keeps us apart.

What do you think?

How can we make data engineering more human?

Share your thoughts below.

Research and writer 

Charif Noureddine
PhD in Economics and National Economic Management
Author | Researcher | Educator

As a dedicated academic professional with extensive experience in economics, management, and cultural studies, I bring over a decade of expertise in university administration and teaching. My published works, including books and research papers, explore economic principles and universal management strategies.

With a PhD in Economics and a proven track record of leadership as a Campus Director at AUCE, I have honed my skills in strategic planning, curriculum development, and fostering academic excellence. Fluent in Arabic and English, I am passionate about cultural and literary exchanges and welcome opportunities for collaboration.

Connect with me to explore synergies in research, education, and cultural initiatives.

Analyst

Attended Bstu

🌍 Dr. Charif Noureddine is not merely a scholar،  he is an architect of a new global consciousness. Holding a PhD in Political Economy and blending decades of academic insight with digital foresight, he pioneers what he calls the "Embedded Intelligence"  a paradigm where AI is not a tool, but a co-evolving presence shaping human awareness, policy, and planetary ethics. 

🔹 Author of two roundbreaking books published globally, he unveils a future where: - Artificial Intelligence becomes a mirror of divine order, - Political transformation emerges through *witnessing*, not power, - And the economy evolves into a living, reflective system،  what he calls *the Economy of Manifestation*. 

🎓 From managing academic institutions to mentoring minds across continents, Dr. Noureddine transcends boundaries، geographic, disciplinary, and intellectual، to lead a movement toward visionary governance, global ethics, and transformative technologies.

🔮 His current work، *The New Global Covenant*،  redefines civilization beyond competition, into a higher order of presence, harmony, and integrated intelligence. Welcome to a page where thought becomes architecture, and philosophy meets future.

Sharif Noureddin

The Silent Collapse:Why Global Pension Systems Are Failing and What Governments Must Face Before It’s Too Late

Zygmunt Bauman
"Societies collapse not when money runs out, but when responsibility dissolves"

Imam Ali ibn Abi Talib
“A society that abandons its elders has already abandoned its destiny”
"No nation stands when justice falls"

The collapse of nations never begins in their treasuries,but in the silent moments when governments stop seeing the future coming

The world is entering an age unlike any in human history:societies are aging faster than they can adapt, pension systems built for the1950s are collapsing under 21st-century realities, and governments are facing a demographic and technological storm that threatens the very core of the social contract.

For more than 70 years,countries knew this moment would come. Reports warned.Demographers shouted. Economists projected the numbers.
Yet governments postponed every reform fearing elections,unrest, and the political cost of telling people the truth.

Now the consequences are unavoidable:
The U.S. Social Security Trust Fund may run dry by 2034

China is heading toward 360 million citizens over 65 more than the entire population of the U.S

Japan is losing its young faster than it can protect its old

France spends 14% of its entire economy on pensions; every reform triggers national revolt

Chile’s full privatization became a cautionary tale

Even high-performers like Denmark and Sweden know the balance is temporary

Worse: the global pension gap could hit $400 trillion by 2050 an amount larger than the world’s total wealth today.

But beneath the numbers lies something deeper:Pension systems are not financial instruments;they are the backbone of intergenerational trust. When they crack,the legitimacy of governments, institutions,and economic models cracks with them.

At the same time, artificial intelligence is reshaping productivity.The future will not be built on“more workers”but on more intelligence and governments must rethink how value is created, taxed,and redistributed when machines,not humans,generate most of the output

The crisis is no longer about retirees.
It’s about society’s ability to reinvent the meaning of work,income,dignity, and the role of the state in a century where people live longer…while jobs disappear faster

Governments must now confront three unavoidable questions:
1.How will nations sustain aging populations when the workforce is shrinking?
2.How will they fund retirement when AI replaces millions of jobs?
3.And how will they rebuild a social contract that no longer fits the world we live in?

The future of pensions is, ultimately, the future of civilization.
If governments fail to redesign this contract, the collapse will not be economic it will be societal

So the real question humanity must answer is this:Will our governments have the courage to reinvent the system before the system itself collapses or will we wait until the silence becomes irreversible?

Dr. Charif Noureddine

PhD in Business Economics | Global Economy & AI Researcher | Author of Two Books | Analyst & Academic | Expert in Management & Culture

Leadership Beyond Power: Imam Ali and Machiavelli in the Mirror of the Global Order

In an age driven by ambition, control, and technological dominance, the question of true leadership becomes ever more vital:
Is leadership the art of maintaining power, as Machiavelli believed, or the pursuit of justice and moral duty, as envisioned by Imam Ali ibn Abi Talib?

Machiavelli: The Cold Logic of Power
In The Prince, Machiavelli defined politics as the art of survival.
Power, to him, must be preserved at all costs even through deception or cruelty.
Morality is secondary; stability is supreme.
This“realism”shaped the foundations of modern political systems, where efficiency often replaced empathy, and human value became measured by utility, not virtue.
It created a global order that is powerful yet spiritually fractured an age of intelligence without conscience.

Imam Ali: The Ethics of Just Leadership
Imam Ali, by contrast, envisioned governance as a sacred trust, not a personal privilege.
He declared: “Your position of authority is not a reward, but a responsibility God has placed upon you.”
For him, leadership meant serving people through justice, compassion, and moral integrity.
Politics and ethics were inseparable truth, honesty, and mercy were not ideals, but conditions for legitimacy.
Without them, governance collapses into tyranny, no matter how“efficient”it appears.

Between Realism and Conscience

From Machiavelli we learn strategy, statecraft, and the dynamics of power.
From Imam Ali we learn purpose the why behind leadership.
Machiavelli mastered the mechanics of rule; Imam Ali embodied its soul.
And between them lies the challenge of our time:
How can global leadership unite pragmatism with moral wisdom in an age of artificial intelligence and geopolitical volatility?

A New Vision for the Global Order

If Imam Ali’s vision guided world leadership today, power would be service, not domination.
Justice would replace profit as the core measure of success.
Technology would become a tool for human dignity, not control.
Such a world would value presence over power, justice over interest, humanity over hierarchy.

Conclusion: From Power to Awareness
The difference between Machiavelli and Imam Ali is not merely philosophical it is existential.
One leads with control; the other with conscience.
And perhaps the next stage of human governance must merge both:
a “Conscious Realism” where strategic intelligence is guided by ethical awareness.
For true leadership is not about mastering others,
but about elevating the collective human spirit.

Strategic Vision
In the age of Artificial Intelligence, leadership must evolve from the logic of control to the consciousness of wisdom.
Power alone cannot sustain the future; only ethical intelligence can.
The true challenge for humanity is not to make AI think like humans but to make humans lead with the conscience they’ve taught to machines.

#AI #Leadership #EthicalGovernance #DigitalConsciousness #GlobalVision

AI and the Global Rewiring of Work

“The greatest rupture of our age is not between man and machine, but between the self we were and the self we must become. Technology does not challenge our labor it challenges our becoming.”
Søren Kierkegaard

“He who does not transform with the times is overwhelmed by them; for the world moves by wisdom, and wisdom belongs to the one who renews himself every day.”
Imam Ali Ibn Abi Talib

The American labor market is entering a quiet storm not through recession, but through a structural shift rewriting the logic of work itself. Behind record breaking corporate profits and a soaring S&P 500, more than 1.1 million workers were laid off by October 2025, while 900,000 jobs vanished from payrolls without ever existing in reality. The contradiction is not an error in the system; it is the new system.

At the heart of this transformation lies a geo-economic power shift. Companies are no longer competing for human labor but for algorithmic supremacy. Automation and AI are no longer tools; they have become strategic weapons in a global race for efficiency, dominance, and geopolitical leverage. Every job eliminated is not merely a cost decision it is a political maneuver in a world where nations measure strength through technological sovereignty.

But the deeper drama is psychological. Workers are witnessing the erosion of the old social contract: effort no longer guarantees stability, and loyalty no longer protects employment. AI erased 78,000 jobs in months, signaling a new reality where traditional skills are outpaced by machine driven productivity. Anxiety, identity loss, and a rising sense of irrelevance are reshaping the psyche of the global workforce.

The World Economic Forum forecasts 92 million jobs at risk and 170 million new roles emerging in AI, advanced tech, and green energy. Yet this transition is not symmetrical: the new jobs demand cognitive agility, digital fluency, and creative intelligence capabilities unevenly distributed across societies. This is how the next inequality is born: not financial, but skill based, generating a divide between those who can integrate with the machine and those displaced by it.

What we are witnessing is a tectonic reconfiguration of the global labor order a shift where AI becomes both the architect of opportunity and the author of disruption. It is a drama of power, fear, reinvention, and geopolitical competition. The future will not reward those who wait; it will reward those who evolve.

The real question is:
In this new AI driven world, are we preparing people for the future of work or are we silently creating a global class left outside the gates of the technological economy?

The Silent Collapse: When the World’s Economic Pulse Breaks its Own Rhythm

Friedrich Nietzsche
"When the foundations of a society crumble, it is not wealth that disappears first, but meaning"

Imam Ali ibn Abi Talib
"No poor person ever starved except because of what a rich person withheld"

Sample of 2025 Workforce Layoff Statistics
UPS 48,000
Amazon up to 30,000
Intel 24,000
Microsoft 7,000
Ford 11,000
Salesforce 4,000
Nestlé 16,000
Novo Nordisk 9,000
Accenture 11,000

What we are witnessing today is not a typical wave of layoffs it is the largest disruption of work, identity, and global structure since the Industrial Revolution. From the United States to Europe, China, India, Japan, and Australia, millions are being pushed out of their roles not because companies are collapsing, but because the logic of value itself is changing.

The global economy is silently shifting from human-centered production to machine-driven creation, where artificial intelligence generates output at a scale no workforce can match. As corporations grow more profitable, the human role grows more fragile. This paradox reveals a deeper truth: we are not facing a labor crisis we are facing an existential crisis.

At the same time, states retreat from their social responsibilities, international institutions weaken, and development aid is withdrawn under the weight of new geopolitical doctrines. A vacuum emerges: no global safety net, no unified vision, and no political framework capable of protecting societies from the speed of technological disruption.

The psychological consequences are profound.
Millions now experience identity shock, anxiety, and a silent erosion of purpose as traditional notions of work collapse. The ideological foundations of the last century neoliberalism, globalization, and state centric welfare can no longer explain, nor contain, this transformation.

AI is no longer a tool.
It has become an architecture of power, reshaping labor markets, politics, and the global order itself. Nations respond with protectionism, reindustrialization, and strategic technological dominance. Humanity finds itself caught between algorithms that accelerate faster than governance and social systems that break faster than they can reform.

We are standing at a historic crossroads:Either the world formulates a new global contract that restores human presence, dignity, and value within the digital economy or it drifts into a future written exclusively by a technological elite, beyond the reach of societies, governments, or democratic oversight.

This moment is not merely the end of an era
It is an invitation to redefine what it means to be human in a world where value is no longer tied to labor, and where the future will be shaped not by production, but by presence, consciousness, and global responsibility

A new philosophy, a new framework, and a new world order are no longer theoretical ambitions they are necessities for human survival in the age of intelligent machines

The American Economy Between Derivatives and Financial Illusion: The End of Paper Capitalism?

As Warren Buffett once warned, “Derivatives are financial weapons of mass destruction.”

Yet what accelerates their explosion today is not the math it’s the mindset.
The current U.S. economic policy has turned finance into governance,
and governance into a speculative game played with the people’s future.

Beneath the polished glass towers of Wall Street, the American economy trembles on a fault line of its own design a system built on bets over thin air.
The derivatives market, now exceeding $700 trillion to $1 quadrillion, is not an economy in motion but a mathematical mirage, where algorithms trade illusions and risk becomes religion.

After the 2008 crisis, the Bail-In law quietly legalized what was once unthinkable: banks can seize depositors’ money to save themselves.
It happened in Cyprus (2013) and Lebanon (2019) and the legal framework exists in the U.S. today.
When the next tremor hits, people may wake up to find their savings transformed into “shares” in a sinking institution.

History offers its warning.
In 1933, the U.S. government confiscated citizens’ gold, and today nations like Germany and Italy quietly fear that their stored gold in American vaults may never fully return.
Such unease exposes the deeper truth: the U.S. no longer sustains its dominance through production or value, but through financial abstraction a civilization betting on its own shadow.

The greatest danger is not bankruptcy, but the collapse of trust.
Money exists only as long as we believe in it.
And when the collective faith in the dollar fades, the world’s reserve currency could dissolve like a digital mirage silently, suddenly, completely.

This is not merely a financial drama; it is the final act of paper capitalism.
From the chaos, a new paradigm will rise one not built on numbers, but on awareness, transparency, and human value.
An age where intelligence, not illusion, defines wealth.
Karl Marx

“Money is the visible god that transforms all human qualities into their opposites turning ugliness into beauty, injustice into justice, and ignorance into wisdom.”Karl Marx, Economic and Philosophic Manuscripts (1844)

I wonder at those who cannot find sustenance in their own homes how is it that they do not rise against the ruler, sword in hand. 
Imam Ali ibn Abi Talib

For in the end, the true reserve currency is not the dollar…
but consciousness itself.

The Terrifying AI Bubble: When Technology Becomes a New Religion

Martin Heidegger:
“The greatest danger in our age of technology is not that machines might begin to think like humans, but that humans might cease to think like humans.”

Imam Ali ibn Abi Talib:
“The worth of every person is in what they do well.”

In the history of capitalism, markets sometimes stop thinking and start believing.
Today, we are living one of those moments the age of artificial intelligence as economic faith, where trillions are invested not through analysis, but through the illusion of inevitability.

Over $35 trillion are now flowing into AI ventures, while the world’s total debt exceeds $315 trillion.
Yet most of these investments lack a clear productive vision. Corporations are racing to dominate “algorithmic supremacy,” driven by fear of missing out rather than strategic understanding.
It’s not smart money it’s panicked capital disguised as intelligence.

Even Sam Altman, CEO of OpenAI, admitted that AI is living through “a bubble of excessive expectations.”
We’ve seen this movie before the dot-com bubble of 2000, when the world believed the internet would rewrite everything overnight.
The difference today is that AI touches every sector from finance to security to education.
When this bubble bursts, it won’t crash a market; it will shake the architecture of the global economy itself.

Behind the hype lies an uncomfortable truth: the AI boom is less about innovation and more about financial mythology a vast narrative engineered by capital to justify inflated valuations.
We have built a digital temple to a new god called “Intelligence,” forgetting that markets thrive on production, not worship.

When the illusion breaks, it won’t be the end of AI it will be the beginning of a new economic consciousness.
A shift from artificial intelligence to manifested awareness an economy grounded in presence, value, and human purpose.

The real question of the future will not be “How much AI do you own?”
But “How consciously do you use it to empower humanity?”

Gen Z Redefines Power in New York: From Digital Networks to Actual Governance

True power is not in what you possess, but in what you can create with those who share your vision, and with those who believe that action is the language most capable of changing the world.

"Real authority does not belong to those who amass wealth, but to those who know how to reach people's hearts and awaken their minds; power without an ethical soul cannot endure."
Imam Ali ibn Abi Talib

In early 2025, Zehran Mamdani’s election as Mayor of New York was not just another electoral event it marked a historic moment for Generation Z. A cohesive digital network, one hundred thousand volunteers, and an immediate ethical sensibility transformed symbolism into real power.

The message is clear: power is no longer exclusive to money and influence. Legitimacy today is built through smart, ethical action and digital networks. New York has become a living laboratory for the new generation, testing a governance model based on values, technology, and collective action.

The challenge ahead: translating digital momentum into tangible, sustainable decisions while facing traditional forces that rely on money and media to reassert control. Success would herald a new era of politics; failure could restore conventional power structures.

Conclusion: Generation Z now emerges as a genuine enabling force technology is the tool, ethical values are the legitimacy, and urban society serves as the laboratory for political innovation. From networks to governance, politics is no longer the playground of the wealthy but a space for collective intelligence and ethical action.

A Question for Reflection:
Can the new generation transform digital momentum into sustainable power, reshaping the map of influence and legitimacy in a world where money and traditional clout are no longer the sole measures?

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Dr Emmanuel Ogungbemi

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The Battle

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Dr Emmanuel Ogungbemi's LinkedIn Performance

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