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.

Self Employed

Providing Quick Promotions, LinkedIn business page development, & Lead generation using Sales Navigator  

Could you message me here or call me at 518-859-1156 to get started?

Brand and Business Development - Free Linkedin Local Consultations

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Our stats show that our advertisers obtain over 250000 impressions monthly. 

Please email us at Info@DisplayLocalMedia.com or direct message us here to provide more information about how your business could benefit from our Indoor Digital Billboards,

Brand and Business Development 

KEY Choices

Providing Brand and Business Development on LinkedIn for Key Choices, Inc. Empowering youth to make anti-drug choices by leveraging the science of addiction. We go into the classrooms and teach a science-rich, choice-based curriculum in three 50-minute class sessions. Target grades are 6th-12th. We offer this at no cost to schools.

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Inside Sales Account Manager

TownePlace Suites by Marriott

Director of Sales - TownePlace Suites by Marriott 

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Inside Sales Specialist

StayExpress

Hello, I am Chris Steffens and for over the past ten years, I have worked side by side with a general manager of a franchised branded budget economy hotel as their Sales Manager. With this understanding and appreciation for their day-by-day operations 
and witnessing the relationship between ownership and the contracted brand, 
I am happy to announce I am now providing Business Development for Stay Express.

We at Stay Express help hoteliers by decreasing Franchising cost, Software cost-PMS, Channel Management cost (OTA), 
Digital Marketing Cost, Service & Support Cost, Revenue Management Cost, CRS & GDS processing cost.

Franchise Business Development Manager

Microtel Inn, Latham, NY

The goal of the Sales Manager is to oversee all aspects of sales, marketing, and Front desk relationships with our hotel guests. Call us at 518-782-9161 for your best rate,

The objective of the Sales Manager is to increase revenue and awareness of the hotel in the business community.

Our Phone number is 518-782-9161 ext 304, Please call them to reserve! 
and we are located at  7 Rensselaer Ave.  Latham NY 12110.

Sales Manager

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The Front Desk phone number is (518) 449-5181
My Voice Mail is 518-782-9161 ext 303
Email- sales@microtelalbany.com

The goal of the Sales Manager is to oversee all aspect of sales, marketing and Front desk relationships with our hotel guests.

The objective of the Sales Manager is to increase revenue and awareness of the hotel in the business community.

Chris Steffens is a seasoned brand and business development consultant with over 14 years of experience in content generation. Based in Havre de Grace, Maryland, he operates independently and offers services such as LinkedIn page development, lead generation through Sales Navigator, and quick promotional strategies.

As a LinkedIn Influencer, Chris actively shares insights on marketing, branding, and business development. His posts often address current industry trends and challenges. For instance, he has discussed the implications of overextending business capabilities, emphasizing the importance of strategic growth and honest self-assessment. In another post, he analyzed the potential and challenges of robotic cooks in the foodservice industry, highlighting both efficiency gains and safety concerns.

Chris's content resonates with a broad audience, as evidenced by the engagement his posts receive. He maintains an active presence on social media, including a Facebook group where he shares additional insights and engages with his community.

Chris Steffens offers a wealth of knowledge and practical advice to those interested in brand development and marketing strategies. You can explore his professional insights and connect with him through his LinkedIn profile:

Chris Steffens

Remember to approach every minor annoyance with a Can-Do Attitude!

Despite strong GDP projections, shoppers are feeling the squeeze from inflation, a shrinking job market, and tariffs. Key trends noted by CNBC:
Wealthier consumers are seeking bargains.
Gen Z is spending less overall.
Lower earners are cutting non-essential purchases.

A notable 24% of those earning $100,000+ plan to spend less this holiday season, posing a challenge for retailers like Best Buy, Target, and Home Depot. The consumer's mood is a critical variable overriding economic projections.

Question: Will consumer caution overshadow economic strength this quarter? What are you seeing in your industry?

Video Credit: Tiny Paws Garden
#Economy #ConsumerSentiment #Retail #HolidayShopping #MarketTrends

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Be careful not to be bowled over by distractions.

The rapid integration of Artificial Intelligence (AI) into recruitment is creating a significant crisis of authenticity and trust for everyone involved, as Fortune reported. This dual challenge is causing widespread headaches:

🤕 Headaches for Job Seekers
Harsher Screening: Candidates are navigating increasingly severe AI screening processes that can be rigid and opaque, often filtering out qualified people.

Fake Postings: The rise of AI-assisted job applications is fueling an increase in high-volume, potentially fake job postings, leading job seekers to waste time and effort.

🤯 Headaches for Employers
Application Overload: Recruiters are struggling to manage massive volumes of AI-assisted applications, leading to overwhelm and burnout.
Crisis of Authenticity: The lack of human connection is diminishing the hiring process.

A staggering 42% of people directly blame AI for their disillusionment with the hiring process, highlighting a drastic plummet in trust. To move forward, we must focus on ethical AI use, transparency, and re-injecting human authenticity into a process that has become overly automated.

#AIinRecruitment #FutureofWork #HiringChallenges #JobSearch #TalentAcquisition

It's just around the corner, the Thanksgiving feast.

🦃 Thanksgiving Economics: Feast & Flight Costs in the USA ✈️

The cost of Thanksgiving is always a major discussion point in the U.S., impacting both consumer spending and business logistics. Here's a quick look at the 2025 trends:

Food Costs: Good news for the grocery bill! The average cost of a classic Thanksgiving dinner for 10 is down this year, estimated around $55.18 according to the American Farm Bureau Federation (AFBF), a 5% drop from 2024. Lower turkey prices primarily drive this. However, keep an eye on side dish ingredients and regional taxes, as some staple items are still seeing price increases.

Travel Costs: Holiday travel demand remains strong, but price trends are mixed:
Domestic Airfare is relatively stable, with some sources reporting a slight 1-4% increase year-over-year. The cheapest day to fly is often Thanksgiving Day itself.

Hotels and Rental Cars are showing more favorable trends, with rental cars dropping around 6% and hotel rates holding steady or only modestly increasing in many markets.

Pro Tip: Booking flexibility and avoiding the peak Wednesday departure/Sunday return dates are key to savings.

This holiday season continues to highlight the balancing act for consumers: finding value at the grocery store while navigating the persistent costs of family travel.

#Thanksgiving #USAEconomy #ConsumerSpending #TravelTrends #HolidayPlanning #FoodCosts

Having perseverance is the real trick here.

🚀 Perseverance isn't just about finishing; it's about the relentless effort and learning through every setback. In business, the road is rarely straight.

 Keep showing up, keep adapting, and keep pushing forward. That unwavering commitment is your competitive edge. 

#BusinessGrowth #Entrepreneurship #Perseverance

Hoping that your Hump day is humming along.

Internet Outage Alert: Cloudflare experienced a significant service disruption yesterday, causing popular sites like X, ChatGPT, and League of Legends to go offline temporarily.

The cause: an internal software crash triggered by a file, which has since been resolved. No malicious activity detected.

These events (like the recent AWS issues) are critical case studies in infrastructure reliance. The internet's buffer needs backups!

#CloudflareOutage #TechIncident #WebReliability
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#influencermarketing
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You have been Drilling down all work week , it's nice to know that your well deserved weekend is afoot.

The long-awaited September jobs report is finally here, delivering a complex picture for the U.S. economy:

Job Growth Surges: A stronger-than-expected 119,000 jobs were added, well above analyst forecasts.

Unemployment Ticks Up: The jobless rate rose slightly to 4.4%—the highest level since October 2021—due to more people entering the labor force (higher labor force participation rate).

Sector Spotlights: Health care, social assistance, and food services were the primary drivers of job creation.

This shutdown-delayed data will be under intense scrutiny by Federal Reserve officials as they debate a potential December interest rate cut. The simultaneous rise in payrolls and the unemployment rate makes their decision even trickier.

What are your thoughts on these mixed signals and the potential impact on the Fed's next move?

#JobsReport #Economy #FederalReserve #LaborMarket #EconomicUpdate

Let's get a jump on this new work week of November 17th before we hit the pavement.

The US economic calendar is packed this week (Nov 17 - Nov 21) with key data and major corporate earnings that could drive market volatility and influence Federal Reserve policy discussions.

Keep a close eye on these reports and company updates:

📊 Key Economic Indicators
Important releases this week will offer fresh insight into manufacturing, housing, and the labor market, especially as delayed reports from the recent government shutdown are being released:

Manufacturing & Industrial Data:
Monday (Nov 17): Empire State Manufacturing Survey
Tuesday (Nov 18): Industrial Production & Capacity Utilization
Thursday (Nov 20): Philadelphia Fed Manufacturing Survey
Housing & Construction:
Wednesday (Nov 19): Housing Starts & Building Permits
Thursday (Nov 20): Existing Home Sales

Labor & Sentiment:
Thursday (Nov 20): Initial Jobless Claims, Nonfarm Payrolls Report (Sept. data release)

Friday (Nov 21): University of Michigan Consumer Sentiment (Final)
🏦 Central Bank Focus: FOMC Minutes
Wednesday (Nov 19): The release of the Federal Open Market Committee (FOMC) meeting minutes will be crucial. Markets will scrutinize the details to gauge the Federal Reserve's future path on interest rates and its stance on the economy's health following the recent rate cuts.

💰 Major Earnings Reports
A few retail giants are scheduled to report, providing a look into consumer health ahead of the holiday shopping season:

Tuesday (Nov 18): Home Depot (HD), Baidu (BAIDF)

Wednesday (Nov 19): Target (TGT), Lowe's (LOW), Nvidia (NVDA)

Thursday (Nov 20): Walmart (WMT)

#BusinessNews #EconomicData #MarketAnalysis #FOMC #CorporateEarnings #Investing
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Now everyone has posted about ThrowBack Thursday but I believe this guy has a real drop on it.

Unfortunately noone is going to get a drop on this. 
Due to the government shutdown, the Bureau of Labor Statistics (BLS) will not release a full U.S. jobs report for October.

This means:

Unemployment Rate: The household data needed to calculate the October unemployment rate could not be collected at all and is lost.

Payroll Data: The payroll numbers will be folded into the November report, now scheduled for release on Dec. 16 (delayed from Dec. 5).

Fed Implications: Crucially, this vital labor market data won't be available before the Federal Reserve's final policy meeting of the year, complicating their economic assessment.

The shutdown has created a significant data gap for policymakers and investors. 
#JobsReport #BLS #EconomicData #GovernmentShutdown #FederalReserve

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The Battle

Dr Emmanuel Ogungbemi

Chris Steffens

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Performance ScoreDr Emmanuel Ogungbemi's LinkedIn Performance

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The Battle

Dr Emmanuel Ogungbemi

Chris Steffens

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 ScoreChris Steffens's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreDr Emmanuel Ogungbemi's LinkedIn Performance