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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- 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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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.

The Social Squads

Co-Founder

Scalant

Graphic Designer

The Sparks Foundation

Web Development Intern

Aashman foundation

Human Resources Intern

Solid Learning LLP

International MUN 

Campus Ambassador

Collegedunia

Campus Ambassador 

Personal Branding Strategist | Social Media Manager | LinkedIn Ghostwriter | Tech | Finance | Marketing | DM for LinkedIn Profile Management

We live in a digital age where your online presence and reputation matter more than ever.

Hi there 👋 I’m Naman. I’m a Personal Branding Strategist.

I love to help people shine online and become their own brands. The power of social media is undeniable.

Building your personal brand is like planting a seed today that will grow into a fruitful tree tomorrow.

You might be wondering how can I help you grow your personal brand online. I can help you in following ways:-

👉 Content Marketing
👉 LinkedIn Marketing
👉 Social Media Marketing
👉 Marketing Consultation

If you are someone who wants to harness the power and potential of branding the right way online, let’s connect.

For Services Related Inquiry & brand collaborations DM me or drop a mail at n.toshniwal2828@gmail.com

Naman Toshniwal

I just built a tool in 20 minutes that saved my team $5,000 

By last month, we were wasting 15+ hours a week just tracking leads and updating spreadsheets.

So I asked myself: "Why are we doing manually what a computer can do in minutes?"

I opened Replit, typed exactly what I needed in plain English, and 30 minutes later:

Our automated CRM was live

➡️ Slack notifications for every lead 
➡️ Google Drive reports generated automatically 
➡️ Insights we used to make decisions daily 

No dev team. 
No APIs. 
No headaches.

Result? 
Our workflow went from messy → money-making machine in less than a day.

If I can build this in 20 minutes… imagine what you could create for your business.

👉 Check out Replit and build your first app here: https://lnkd.in/gAUtCkPB

P.S: What’s one workflow in your business that’s wasting time?

RIP ChatGPT! This All-in-one AI tool is 10x more powerful and it’s here to RULE.

It’s ChatLLM by Abacus AI. All AI tools in one place!  - https://lnkd.in/gZWRNwZq

YOU CAN LITERALLY DO EVERYTHING :

1. ACCESS TO ALL THE SOTA LLMs
ChatGPT- o5 Pro, o4 Pro, Claude 4.5, Gemini 2.5 Pro, Grok 4, DeepSeek V3, Kling, Luma, Runway, Llama and many more

2. IMAGE & VIDEO GENERATION
Using the best AI models,Nano banana, SeeDream 4.0, Sora 2, ChatGPT Image Gen, Ideogram, Recraft, Flux. many other tools to turn your ideas into amazing pictures & videos.

3. BUILDING FULL-STACK APPS, SAAS and Websites
A simple prompt instantly gives you full-stack apps and websites with frontend+backend. Edit everything - colors, text, layout - effortlessly!

4. CREATE PROFESSIONAL PRESENTATIONS
ChatLLM allows you to generate Word, Excel, or PowerPoint files quickly with a single prompt. It is quick, simple, and time-saving.

5. AI PERSONAL ASSISTANT - COMPUTER USE
AI handles tasks for you 24/7, even while you’re asleep. It can search the web and take action, acting like a personal assistant that never needs a break.

6. HUMANIZE AI CONTENT
RIP AI Detectors. Generate your AI content. Just click the "Humanise" icon, choose your preferred tone, and the text will become human.

8. SEARCH THE WEB
RIP Perplexity - ChatLLM gives real-time answers with trusted sources, images, and videos.

9. DEEPAGENT (The God-Tier AI Agent that can automate your work)
Create mobile Apps, Websites, Technical reports, presentations and much more with simple prompts. Make edits with simple english!

10.DEEPAGENT DESKTOP
The smartest coding agent yet. This coding agent beats Claude Code and GPT-5 Codex on all the key benchmarks. Vibe Coding just got an upgrade!

This all-in-one tool can replace all your AI tools for just $10 a month! Give it a shot!

https://lnkd.in/gZWRNwZq

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The Battle

Dr Emmanuel Ogungbemi

Naman Toshniwal

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taplio

The Battle

Dr Emmanuel Ogungbemi

Naman Toshniwal

Followers

Posts

Engagements

Likes

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

Performance ScoreNaman Toshniwal's LinkedIn Performance

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Performance ScoreDr Emmanuel Ogungbemi's LinkedIn Performance