Abhishek

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Abhishek

Abhishek

@LoyalDataEng

Learning. Building. Scaling. 🚀 Data Engineer sharing projects, tips & real-world data engineering journeys.

شامل ہوئے Temmuz 2026
197 فالونگ185 فالوورز
پن کیا گیا ٹویٹ
Abhishek
Abhishek@LoyalDataEng·
🚀 Starting Tomorrow: 30 Days of Data Engineering I'll be sharing everything I learn about: 🐍 Python for Data Engineers 🗄️ SQL for Data Engineers What to expect every day: ✅ Topic-by-topic learning ✅ Easy-to-understand notes ✅ Interview questions I've personally faced during Data Engineering interviews ✅ Tips, tricks & practical examples If you're preparing for Data Engineering or planning to switch into this field, this series is for you. I'm new here, so your support, follows, reposts, and feedback would mean a lot. Let's learn and grow together! 🤝 #DataEngineering #Python #SQL #AI #BigData #DataEngineeringRoadmap #LearningInPublic #TechTwitter #InterviewPreparation #DataEngineer
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Chai
Chai@KChaiWrites·
Only 8 more to reach 300 followers.
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Abhishek
Abhishek@LoyalDataEng·
x.com/i/status/20746… Roadmap for Data engineering. It is for beginners as well as experienced professional who want to build their career in data engineering and ai domain. I will update this roadmap time to time. I am giving u all the content which I have used during my learning.
Abhishek@LoyalDataEng

Everyone talks about becoming a Data Engineer. Very few show you how. Starting today, I'm building the most practical Data Engineering Roadmap using 100% free resources. No fluff. No paid courses. Just a clear path from beginner to job-ready. Follow along if you're serious about Data Engineering. #DataEngineering #Python #SQL #BigData #DataScience

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Abhishek
Abhishek@LoyalDataEng·
🚀 Starting Tomorrow: 30 Days of Data Engineering I'll be sharing everything I learn about: 🐍 Python for Data Engineers 🗄️ SQL for Data Engineers What to expect every day: ✅ Topic-by-topic learning ✅ Easy-to-understand notes ✅ Interview questions I've personally faced during Data Engineering interviews ✅ Tips, tricks & practical examples If you're preparing for Data Engineering or planning to switch into this field, this series is for you. I'm new here, so your support, follows, reposts, and feedback would mean a lot. Let's learn and grow together! 🤝 #DataEngineering #Python #SQL #AI #BigData #DataEngineeringRoadmap #LearningInPublic #TechTwitter #InterviewPreparation #DataEngineer
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Ankit Aggarwal
Ankit Aggarwal@TechAheadAnkit·
Happy Morning: Finally 1000+ followers. It was incredible journey. I am thankful to each one of you for following me and supporting me. When i started this X journey, I didn't think of reaching 1K that soon. It took me 3months but I am happy. I am sharing tech.
Ankit Aggarwal@TechAheadAnkit

It took me a while to achieve this from my previous target but I am really happy. I am manifesting 500+ verified followers and 5M impressions in June and I gained 500+ verified followers today. Thank you everyone for being there and engage with my content. Let's be friends

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Tymofii Antonenko
Tymofii Antonenko@tymofii·
@LoyalDataEng The risk isn't AI taking jobs, it's falling behind those who leverage it for higher output. I've seen promotions go to people who built AI-assisted workflows while others avoided it.
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Abhishek
Abhishek@LoyalDataEng·
@TechAheadAnkit Thanks Bhai. It's nice to meet u here. U are the first person whom I talk with. Looking forward in this journey along with You.
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Abhishek
Abhishek@LoyalDataEng·
🐍 Day 3/30 – Python Operators (Deep Dive) Most developers know what "+", "-", "*", and "/" do. Very few understand how Python actually evaluates expressions. That's where interview questions begin. Today's deep dive covers: 🔹 Operator Precedence 🔹 Short-Circuit Evaluation 🔹 "==" vs "is" (One of the most asked interview questions) 🔹 Chained Comparisons 🔹 Bitwise Operators Explained 🔹 Performance Tips 🔹 Common Mistakes 🔹 Real Data Engineering Use Cases 🔹 Practice Questions 🔹 Advanced Interview Questions 💡 If you've ever been confused by why two seemingly identical objects behave differently in Python, this lesson will clear it up. Save this post—you'll likely revisit it before your next interview. 📘 Part 1 covered the fundamentals. 🚀 Part 2 is where you start thinking like an experienced Python developer. Follow @LoyalDataEng for daily Python & Data Engineering content. #Python #PythonProgramming #DataEngineering #LearnPython #Coding #Programmer #TechTwitter #100DaysOfCode #AI #MachineLearning #Developer
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Abhishek@LoyalDataEng

🐍 Day 2/30 – Variables & Data Types in Python Every Python program starts with one thing: Variables. If you don't understand variables and data types, writing Python code becomes much harder. In today's lesson, we'll cover: 📌 What is a Variable? 📌 Variable Naming Rules 📌 Dynamic Typing in Python 📌 Built-in Data Types 📌 Numbers (int, float, complex) 📌 Strings 📌 Boolean 📌 Type Checking ("type()") 📌 Type Conversion 📌 Real-world Examples 📌 Interview Questions 📌 Quick Revision Cheat Sheet Everything is explained with diagrams, examples, and beginner-friendly visuals. 📖 Part 1: Fundamentals (This Post) 🔥 Part 2: Deep Dive • Memory Allocation • Mutable vs Immutable Objects • Variable References • Object Identity ("id()") • Type Casting Internals • Common Mistakes • Best Practices • Interview Questions • Pro Tips 💾 Save this thread—you'll use these concepts throughout your Python journey. Tomorrow: Operators in Python ⚡ Follow @LoyalDataEng for daily Python & Data Engineering content. #Python #PythonProgramming #DataEngineering #LearnPython #Coding #Programming #DataEngineer #TechTwitter #100DaysOfCode #AI #MachineLearning

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Utkarsh
Utkarsh@404not_utkarsh·
1500 nicee!! grateful for the milestone <3 thanks a lot y'all Next up - 2000 :)
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Aditya
Aditya@_adityaa21·
Looking to connect with people who are interested in: • AI & Generative AI • AI Agents • LLMs • MCP • Prompt Engineering • Python • JavaScript • TypeScript • React • Next.js • Node.js • FastAPI • LangChain • RAG • Vector Databases • n8n • Docker • Kubernetes • AWS • System Design • DevOps • Open Source • SaaS • Web Development • Data Engineering • Cybersecurity • Machine Learning Let's connect, learn, build, and grow together.
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Abhishek
Abhishek@LoyalDataEng·
@suryanox7 I think just because of readabilty. It attracts our eyes and our foucs go directly on this.
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Sooraj
Sooraj@suryanox7·
Why SQL keywords are written in UPPERCASE? 🤔 Though any case works... is it just out of respect? 🥶
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Abhishek
Abhishek@LoyalDataEng·
@MacdevM it is very good man. How u have achieved this?
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MacDev
MacDev@MacdevM·
Are these stats good enough for 1 week?
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Irushi
Irushi@Im_IrushiK·
Anthropic in 2028 be like...
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Vishal Kashyap
Vishal Kashyap@VishalxKodes·
It does not take much to make a man happy🥹 Le Man's happiness ❤️
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Abhishek
Abhishek@LoyalDataEng·
@uday_devops I have picked tch niche because i am from Data engineering domain. But hardly get any impression on post. will it get improve? And if u have time could u quicly review my account once, it will be helpful to me. On the basis of that i will imprve my content.
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Uday👨‍💻
Uday👨‍💻@uday_devops·
@LoyalDataEng First two months very hard for me because I started as a general posts and then after 1.5 months I pick a niche then got the momentum
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Uday👨‍💻
Uday👨‍💻@uday_devops·
Just crossed 7,500 followers! 🎉 I started as a random person with no audience and no idea how X really worked. Many posts flopped. Some went viral. I kept showing up anyway. Building a small account into a community isn't easy, but consistency changes everything. Thank you to every single one of you for being part of this journey ❤️🥳 On to 10,000. 🚀
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Abhishek ری ٹویٹ کیا
Abhishek
Abhishek@LoyalDataEng·
🚀 Day 2/30 – DBMS vs RDBMS 🗄️ Most beginners jump straight into SQL. But before writing queries, you should understand where your data actually lives. Today's lesson covers: 📌 What is DBMS? 📌 What is RDBMS? 📌 DBMS vs RDBMS (Complete Comparison) 📌 Architecture Overview 📌 How RDBMS Stores Data 📌 Primary Key & Foreign Key 📌 ACID Properties (Overview) 📌 Real-World Examples 📌 Interview Questions 📌 Quick Revision Cheat Sheet 📖 Part 1: Fundamentals 🔥 Part 2: Deep Dive • Internal Architecture • Normalization (1NF, 2NF, 3NF, BCNF) • ACID Properties Explained • Indexing • Storage Internals • RDBMS vs NoSQL • Performance Tips • Advanced Interview Questions 💾 Save this thread—these concepts are asked in almost every SQL and Data Engineering interview. Tomorrow: Creating Databases & Tables (DDL Commands) ⚡ Follow @LoyalDataEng for daily SQL, Python, and Data Engineering content. #SQL #DataEngineering #Database #DBMS #RDBMS #MySQL #PostgreSQL #LearnSQL #TechTwitter #DataEngineer #Coding #100DaysOfCode
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Abhishek@LoyalDataEng

🚀 Day 1/30 – Introduction to SQL 🗄️ Every Data Engineer starts with one language: SQL. If you can master SQL, you're already ahead of many aspiring data professionals. In today's lesson, we'll cover: 📌 What is SQL? 📌 Why SQL is important 📌 History of SQL 📌 Database vs SQL 📌 How SQL works (with diagrams) 📌 Types of SQL Commands (Overview) 📌 Real-world use cases 📌 Interview Questions 📌 Quick Revision Cheat Sheet This isn't just theory—I'll explain everything with visuals, real-world examples, and interview-focused notes. 📖 Part 1: Fundamentals (This Post) 🔥 Part 2: Deep Dive • SQL Architecture • SQL Characteristics • SQL Dialects • SQL Syntax Rules • SQL Data Types • Advanced Interview Questions • Pro Tips 💾 Save this thread—you'll thank yourself during interviews. Tomorrow: DBMS vs RDBMS 🗄️ Follow @LoyalDataEng and join the 30-Day SQL journey. 🚀 #SQL #DataEngineering #DataEngineer #Database #MySQL #PostgreSQL #LearnSQL #TechTwitter #100DaysOfCode #Coding #BigData #DataAnalytics

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Abhishek
Abhishek@LoyalDataEng·
@noor36758 Salary mainly depend on what value u bring to organizations rather than tech stack. One more thing I feel spring boot is master for backend framework. No one even come close to this. What ur take mate?
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Kashaf
Kashaf@noor36758·
Backend Frameworks by Salary Potential in 2026 ⚡ Rust (Axum) — 💰💰💰💰💰 Highest 🐹 Go (Fiber) — 💰💰💰💰💰 Highest 🔺 Scala (Play) — 💰💰💰💰 Very High 🍵 Elixir (Phoenix) — 💰💰💰💰 Very High ☕ Spring Boot — 💰💰💰 High 🟣 .NET Core — 💰💰💰 High 🐍 FastAPI — 💰💰💰 High 🟢 Node.js — 💰💰💰 High 🟨 Express.js — 💰💰 Medium 💎 Rails — 💰💰 Medium 🐘 Laravel — 💰 Low 🐍 Django — 💰 Low 🖥️ CodeIgniter — 🪦 Retire Already
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