Nifemi Akintoye

finally after battling broken dag error

@JA_Olaoye Why not?

Would you take an interview on a Sunday?

Happy Sunday

@her_voice76438 @JA_Olaoye Alright, thank you

@niffemmi @JA_Olaoye No

Do you have a practice project or gigs project you are currently working on this week or you just scouting for something?

@her_voice76438 @JA_Olaoye Does the NBS have API?

@JA_Olaoye Practice project. Analyzing Nigerian food price data from the NBS.

@JA_Olaoye Practice project using airflow and apache spark

@JA_Olaoye Amen

Good morning. May we all shine together this week.

pls who has experienced this and has a solution i am looking for a fix before i try reinstalling docker desktop

Always remember this: If you completely stop learning… and later decide to come back, You won’t start from where you stopped. You’ll almost start all over again. That’s how this field works. Skills fade. Momentum drops. Confidence resets. So don’t aim for intensity. 👉 Aim for consistency. Rest when you need to. But don’t disappear. Even if it’s small: - 10 minutes (reading a blog) - One concept - One problem Keep the connection alive. Because staying in motion… is easier than starting again. Stay sharp. #AI_Data_Savvy_Drive

@Rahm_anda Can't send a DM

I just remembered that someone sent me these resources a while back. If you're interested you can send a dm. I'll send you the link where you can download

@JA_Olaoye Best advice there is

This one is for anyone in their first 0–2 years in data. A short letter to you: If you’re entering this field, don’t start with the wrong mindset. Yes, money matters. But if money is your only reason… The moment things get tough, you’ll want to quit. Because it will get tough. Instead, see it like this: 👉 This is a career 👉 You’re building it brick by brick 🧱 That mindset will carry you further than hype ever will. - Don’t jump around. Pick a learning path and stay with it. Different people solve the same problem in different ways. As a beginner, jumping around will only confuse you. 👉 Finish what you start. - Don’t compare yourself to anyone. Online or offline. Comparison drains you. Focus on learning, practicing, and trusting your journey. - Consistency is your real advantage. Not talent. Not tools. 👉 Showing up, again and again. - If you can, get a mentor or an accountability partner. It helps more than you think. - And listen carefully: You are not selling code. You don’t sell SQL. You don’t sell dashboards. 👉 You sell solutions. Always think in that direction. - Study trends. Take notes. Stay aware by reading Books. Blogs. Articles. You’re not just learning tools… You’re learning how data professionals think and communicate. - Start applying for roles as soon as you can work with data. Don’t wait till you feel “perfect” - Soft skills are not optional: Communication, Curiosity, Critical thinking. Drop the mindset of “I don’t talk too much” This field requires you to explain what’s going on. So, People need to hear you. And finally… Hold on to your faith. It will come together. Stay calm. Keep building. #AI_Data_Savvy_Drive #DataCareers

Theory exam question for intro to python programminng for my NYSC ppa

Built a simple ERD to understand star schema data modeling Order_fact = core transactional data Date_dim, Product_dim, Customer_dim = context Fact = metrics | Dimensions = details Clean, scalable, and optimized for analytics.

@iam_daniiell Data modelling

Burning the midnight candle… Who’s up?? And what are you building/learning??

@JA_Olaoye Why

Software Developers are not your friends in a Tech team as a Data Professional.

MAKE YOUR DESIGN VIDEOS PRESENTABLE IN JUST TWO CLICKS! Ps: Is this a good demo video?

Today I built my own Python ETL pipeline. Pipeline flow: API → Transform using dictionary concepts → Load to MySQL Things I implemented: • OOP structure (Extractor / Transformer / Loader) • Logging instead of print • .env config management • Execution timer decorator

Next goal: run it with Airflow. git repo: github.com/attommm/EPL_st… #DataEngineering #Python #BuildInPublic

Anytime I want to share animations or design screen videos, I like them to look presentable. And I often have to launch After Effects just to set the size, add backgrounds, or add rounded corners and shadows. It’s overkill, and too much friction. That’s why I built Vidratio, entirely with AI Upload any MP4, MOV, or WebM — and select your preferred aspect ratio Select any background type Adjust any extra effects like shadows Export up to 4K Post. No account, No server uploads. The video encodes locally in your browser. Easy Try it now, link below ⬇️