#Cloud Native Data Engineering Platforms

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#Cloud Native Data Engineering Platforms Reel by @tayolusi (verified account) - From Google to 6 Figures 💻☁️ I didn't wait for someone to hand me a roadmap. I opened Google, searched "cloud engineer jobs," and copied the job des
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@tayolusi
From Google to 6 Figures 💻☁️ I didn’t wait for someone to hand me a roadmap. I opened Google, searched “cloud engineer jobs,” and copied the job description into a Google Doc. Then I asked ChatGPT: 👉 “What knowledge and experience do I need to land this?” 👉 “Teach me everything step by step.” No certifications, Just curiosity, execution, and the right questions. That’s how I went from clueless to cloud engineer. If I can do it, so can you. 🧠 Start where you are 📄 Copy a JD 💬 Ask the right questions 🚀 Build the skillset 💼 Land the role Comment “1%” and I’ll show you how to get started today. #CloudEngineer #CareerHack #NoDegreeRequired #TechJourney #ChatGPT #SelfTaughtEngineer #The1Percent
#Cloud Native Data Engineering Platforms Reel by @itsnextwork - Cloud Engineer Roadmap👇 First things first... Projects > Certifications. Anyone can memorize answers, but real engineers learn by building. Here
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@itsnextwork
Cloud Engineer Roadmap👇 First things first... Projects > Certifications. Anyone can memorize answers, but real engineers learn by building. Here’s how I’d learn cloud in 5 steps 👇 1️⃣ Learn the Fundamentals Understand how systems actually work - Linux, networking, Git, Python. You’ll need this to fix anything later. Pick a cloud provider (I'd recommend AWS) and learn these skills with projects. 3️⃣ Automate Everything Learn Terraform and CI/CD so you can spin up full environments in minutes, not hours. That’s how teams actually work in the real world. 4️⃣ Containers & Monitoring Use Docker and Kubernetes to run apps at scale, then add monitoring to spot issues before users do. 5️⃣ Security & Cost Control Understand IAM, encryption, and cost optimization. Knowing how to build safely and efficiently makes you valuable. Follow & Comment "I want in" for hands on projects to learn these skills. #coding #engineering
#Cloud Native Data Engineering Platforms Reel by @emrcodes (verified account) - Comment "CLOUD" to get the links! 🔥 Trying to work in modern tech without understanding Cloud Computing is like building software for a single lapto
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@emrcodes
Comment “CLOUD” to get the links! 🔥 Trying to work in modern tech without understanding Cloud Computing is like building software for a single laptop in a world that runs on distributed systems. If you want scalability, reliability, and real-world engineering skills, this mini roadmap is your entry point. ⚡ Cloud Computing Explained A clear, high-level breakdown of what cloud computing actually is, why it exists, and how companies really use it. ⏱ Cloud Computing in 2 Minutes A fast, simplified overview to lock in the core ideas: servers, regions, scalability, and on-demand infrastructure. ☁ What is Cloud Storage? Understand object storage, why it replaced traditional servers, and how data is stored and accessed at scale. 💡 With these Cloud resources you will: 🚀 Think beyond “my code runs locally” and start thinking in distributed systems 🧠 Understand the foundations behind AWS, Azure, and GCP 🏗 Bridge the gap between writing code and deploying real, scalable applications ☁ Level up for Backend, Cloud, DevOps, and Production Engineering roles If you want to move from “I built an app” to “I deployed a system that scales,” Cloud Computing isn’t optional, it’s foundational. 📌 Save this post so you always have a Cloud roadmap. 💬 Comment “CLOUD” and I’ll send you all the links! 👉 Follow for more Backend Engineering, Cloud, System Design, and Career Growth.
#Cloud Native Data Engineering Platforms Reel by @sahni.ai (verified account) - Comment "AI" and I'll send you the full breakdown. This viral build uses two AI models to power a real time geospatial dashboard that looks like it b
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@sahni.ai
Comment “AI” and I’ll send you the full breakdown. This viral build uses two AI models to power a real time geospatial dashboard that looks like it belongs in a CIA ops room. credit to @bilawal.ai #ai #tech #gemini3 #claude
#Cloud Native Data Engineering Platforms Reel by @bilawal.ai - Between Gemini 3.1 and Claude 4.6 it's honestly wild what you can build. This feels like Google Earth and Palantir had a baby. Made this with all the
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@bilawal.ai
Between Gemini 3.1 and Claude 4.6 it’s honestly wild what you can build. This feels like Google Earth and Palantir had a baby. Made this with all the geospatial bells and whistles — real time plane & satellite tracking, real traffic cams in Austin, and even got a traffic system working. Panoptic detection on everything. Skinned the whole thing to look like a classified intelligence system. EO, FLIR, CRT. Got a bunch more stuff on the roadmap. This is fun. #ai #geospatial #computervision #photogrammetry #osint
#Cloud Native Data Engineering Platforms Reel by @devops__community (verified account) - This is how a REAL production cloud application is built on AWS 🚀 Not demos. Not toy projects. User traffic first hits CloudFront (CDN) for speed an
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@devops__community
This is how a REAL production cloud application is built on AWS 🚀 Not demos. Not toy projects. User traffic first hits CloudFront (CDN) for speed and global delivery. Before reaching the app, AWS WAF blocks attacks like SQL injection, bots, and abuse. Requests then go through an Application Load Balancer, which routes traffic to different services. At the core runs Amazon EKS (Kubernetes): Frontend Orders Payments Each runs as an independent microservice that can scale on demand. An Ingress Controller handles TLS, routing, and zero-downtime deployments. Data layer is split properly: RDS (PostgreSQL) → orders & transactions DynamoDB → carts & sessions S3 → images & invoices Heavy tasks are async: Orders trigger EventBridge → SQS → Lambda for emails, invoices, inventory updates, and analytics. Security & reliability: Secrets Manager for credentials IAM roles for pods CloudWatch + Prometheus + Grafana for monitoring VPC Flow Logs for network visibility This is cloud-native, scalable, secure DevOps architecture used in real companies. If you understand this, you’re already thinking like a production DevOps engineer. Save & share 📌 🔥 #DevOps #AWS #Kubernetes #CloudArchitecture #EKS
#Cloud Native Data Engineering Platforms Reel by @hosannahali (verified account) - Did you know that by 2026, the cloud computing market is forecasted to be worth $947.3 billion?! AD Modern life is becoming increasingly reliant on
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@hosannahali
Did you know that by 2026, the cloud computing market is forecasted to be worth $947.3 billion?! AD Modern life is becoming increasingly reliant on the work of data centres; from accessing files in the cloud to using your home monitoring system to using social media, data centres have become crucial to powering what we do. This means there is an increasing demand for cloud computing-related roles and a need for people with the right skills to support the market! That’s why I was super excited to spend the day with @hereataws , learning about their data centers, which power their cloud services, and the important people who work with them every day! From Data Center Engineering Operatives to Environmental Program Managers, there are so many interesting roles related to data centers - I loved hearing all the important work these guys do and all the benefits of working at AWS! If you’re interested in a data center role or want to learn more then make sure you click the link in bio to find out more information and apply today🚀
#Cloud Native Data Engineering Platforms Reel by @vishakha.sadhwani (verified account) - Become a Cloud AI Engineer with bhel. If you are a beginner, or already in cloud - once you know the ingredients : the mix will make sense. And if y
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@vishakha.sadhwani
Become a Cloud AI Engineer with bhel. If you are a beginner, or already in cloud - once you know the ingredients : the mix will make sense. And if you don’t, here you go. 👇 Linux + Cloud Basics → Puffed Rice 🍚 Python + Bash → Masala 🧂 Infra Automation → Sev 🟡 Kubernetes → Onions 🧅 Security + IAM → Coriander 🌿 Observability → Lemon 🍋 AI Infra → Peanuts 🥜 AI Tooling → Chutney 🫙 FinOps → Salt 🧂 Projects → Mixing it well 🥣 Put it all together, and you get one solid Cloud AI Engineer. Comment “AI” to get the complete roadmap in your DMs! [cloud learning path, ai roadmap 2026, mlops basics, devops roadmap, kubernetes tutorial, linux for beginners, cloud certification prep, gpu computing guide, data pipelines learning, hands on projects, tech upskilling, beginner friendly resources, cloud tools, infra skills, engineer roadmap]
#Cloud Native Data Engineering Platforms Reel by @sdw.online (verified account) - If you want to build data engineering projects, here are 3 developed by me (using Python and SQL) that you can try too: 1. Web to AWS S3 2. CSV to P
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@sdw.online
If you want to build data engineering projects, here are 3 developed by me (using Python and SQL) that you can try too: 1. Web to AWS S3 2. CSV to Postgres (with Airflow) 3. REST API to MySQL Which one do you want me to create a step by step YouTube tutorial on? (YouTube: Stephen | Data)
#Cloud Native Data Engineering Platforms Reel by @jessramosdata (verified account) - Comment "project" for my full video that breaks each of these projects down in detail with examples from my own work. If you're using the Titanic, Ir
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@jessramosdata
Comment “project” for my full video that breaks each of these projects down in detail with examples from my own work. If you’re using the Titanic, Iris, or COVID-19 dataset for data analytics projects, STOP NOW! These are so boring and over used and scream “newbie”. You can find way more interesting datasets for FREE on public data sites and you can even make your own using ChatGPT or Claude! Here are the 3 types of projects you need: ↳Exploratory Data Analysis (EDA): Exploring a dataset to uncover insights through descriptive statistics (averages, ranges, distributions) and data visualization, including analyzing relationships between variables ↳Full Stack Data Analytics Project: An end-to-end project that covers the entire data pipeline: wrangling data from a database, cleaning and transforming it. It demonstrates proficiency across multiple tools, not just one. ↳Funnel Analysis: Tracking users or items move from point A to point B, and how many make it through each step in between. This demonstrates a deeper level of business thinking by analyzing the process from beginning to end and providing actionable recommendations to improve it Save this video for later + send to a data friend!
#Cloud Native Data Engineering Platforms Reel by @bloombergoriginals (verified account) - When we think of "the cloud," we picture something virtual, but it's actually thousands of servers and cables that need massive amounts of energy to s
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@bloombergoriginals
When we think of “the cloud,” we picture something virtual, but it’s actually thousands of servers and cables that need massive amounts of energy to stay cool. @nikolajwilliamcw visits a data center that needs as much energy as a small city. Watch the full episode of An Optimist’s Guide to the Planet by tapping the link in bio.
#Cloud Native Data Engineering Platforms Reel by @oge.melody - Books to Lock in on as a Cloud Data Engineer Comment "Books" and I will send you the link ( all on my GitHub) #databooks #ai #cloud #tech #data
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@oge.melody
Books to Lock in on as a Cloud Data Engineer Comment “Books” and I will send you the link ( all on my GitHub) #databooks #ai #cloud #tech #data

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#Cloud Native Data Engineering Platforms is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @tayolusi, @bloombergoriginals and @jessramosdata are leading the way with their viral content. Browse these popular videos anonymously on Pictame.

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