ADARSH CHETAN

ADARSH CHETAN pinned «Most beginner Data Engineers make the same 3 mistakes 👇 ❌ Jumping into tools without fundamentals (SQL, data modeling) ❌ Learning randomly with no clear roadmap ❌ Building projects without understanding the “why” Result? Confusion + slow growth. Focus on…»

Most beginner Data Engineers make the same 3 mistakes 👇 ❌ Jumping into tools without fundamentals (SQL, data modeling) ❌ Learning randomly with no clear roadmap ❌ Building projects without understanding the “why” Result? Confusion + slow growth. Focus on basics, real-world practice, and a structured path. If you feel stuck, having the right guidance helps, and that’s where platforms like Bosscoder Academy can support you with structure, mentorship, and clarity. Check their program here: bcalinks.com/ImCgH9v Start right, and everything else becomes easier.

SQL Complete Handwritten notes & roadmap : bcalinks.com/Jnc5FpY

ADARSH CHETAN pinned «Python vs SQL… which one matters more in Data Engineering? 🤔 Most beginners treat it like a choice. It’s not. 👉 SQL helps you understand data 👉 Python helps you move and process data If your SQL is weak → your logic is weak If your Python is weak → your…»

Python vs SQL… which one matters more in Data Engineering? 🤔 Most beginners treat it like a choice. It’s not. 👉 SQL helps you understand data 👉 Python helps you move and process data If your SQL is weak → your logic is weak If your Python is weak → your pipelines are weak What actually works: → Start with SQL → Then use Python for logic & scaling That’s how you build real understanding. But many people get stuck here… learning randomly with no clear path. That’s where structured programs like Bosscoder Academy can help with a clear roadmap, mentorship, and real-world practice. You can check their program here: bcalinks.com/Jnc5FpY P.S. To become a Data Engineer, you need both: SQL to understand data, and Python to build with it.

ADARSH CHETAN pinned «Projects vs Experience: What actually matters? 🤔 Most people think you need “experience” to get into Data Engineering. But here’s the reality 👉 Experience gets you credibility 👉 Projects get you opportunities If you don’t have experience yet, projects…»

Projects vs Experience: What actually matters? 🤔 Most people think you need “experience” to get into Data Engineering. But here’s the reality 👉 Experience gets you credibility 👉 Projects get you opportunities If you don’t have experience yet, projects are your proof of work. But not just any projects… ❌ Basic tutorials ❌ Copy-paste GitHub repos won’t help. You need: → End-to-end pipelines → Real-world datasets → Clear understanding of system flow That’s what actually makes recruiters take you seriously. And if you’re not sure how to do that, structured guidance can save you a lot of time. Bosscoder’s Data Engineering program focuses exactly on this 👇 bcalinks.com/ETujZx8 With the program, you’ll get: ✅ 1:1 mentorship from Data Engineers at top companies (Microsoft, Google, etc.), and learn by building end-to-end pipelines ✅ A structured curriculum covering DE fundamentals, Big Data (Spark/Kafka), and Cloud (AWS/Azure/GCP) ✅ Strong placement support with resume building, mock interviews, and job switch assistance ✅ 24/7 doubt support to help you master real-world concepts like idempotency and schema drift P.S. If you want to grow, don’t just learn tools. Learn how to build systems that scale.

ADARSH CHETAN pinned a photo

ADARSH CHETAN pinned a photo

DSA Complete Guide: bcalinks.com/eyt0Bpy 𝐉𝐨𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 𝐟𝐨𝐫 𝐩𝐫𝐞𝐦𝐢𝐮𝐦 𝐉𝐨𝐛𝐬/Notes: https://t.me/AdarshChetan

ADARSH CHETAN pinned «Most people think Data Engineering = writing SQL + building pipelines But in real-world companies, that’s just 20–30% of the job. What actually differentiates a strong Data Engineer 👇 • Designing scalable data architectures (not just ETL scripts) • Handling…»

Most people think Data Engineering = writing SQL + building pipelines But in real-world companies, that’s just 20–30% of the job. What actually differentiates a strong Data Engineer 👇 • Designing scalable data architectures (not just ETL scripts) • Handling real-time + batch data efficiently • Making data reliable for analytics, ML & business decisions • Working with tools like Spark, Kafka, Airflow, Cloud (AWS/GCP) • Thinking in terms of performance, cost & fault tolerance This is exactly why many people struggle to break into Data Engineering. They learn tools in isolation, but never learn how systems work together. If you’re serious about transitioning into Data Engineering roles (or leveling up from analytics/dev), structured learning + real-world projects matter a lot. 👉 Bosscoder’s Data Engineering Program focuses on: ✔ Strong fundamentals (SQL, Python, Data Modeling) ✔ Industry-relevant tools (Spark, Airflow, Kafka, Cloud) ✔ End-to-end projects that mirror real company use-cases ✔ Mentorship from engineers working at top product companies If you want to build systems, not just watch tutorials, this is worth checking out. 🔗 Explore the program here: bcalinks.com/eyt0Bpy

Data Structures & Algorithms Complete Roadmap 𝐉𝐨𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 𝐟𝐨𝐫 𝐩𝐫𝐞𝐦𝐢𝐮𝐦 𝐉𝐨𝐛𝐬/Notes: https://t.me/AdarshChetan

Topic wise patterns on Leetcode to master in DSA DSA Complete Roadmap: bcalinks.com/SsTkZJJ 1. Graph https://lnkd.in/eKCM3Fnm 2. Binary Search https://lnkd.in/ecdDvJVH 3. Greedy https://lnkd.in/ejdhN2-g 4. Strings https://lnkd.in/eWk-eGvv 5. DP https://lnkd.in/eUccKXyM 6 Binary Search Patterns : https://lnkd.in/ejBmDhUw 7 Sliding Window Patterns:https://lnkd.in/eE-Tr7gF 8 Greedy Algorithm Patterns : https://lnkd.in/eeitFH5U 9 Tree Traversal Techniques: https://lnkd.in/ev2AMvSs 10 System Design: https://lnkd.in/ekGABk6Y 11 Math and Number Theory: https://lnkd.in/e-77tW6C 12 Bit Manipulation: https://lnkd.in/eEYFqpKg 𝐉𝐨𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 𝐟𝐨𝐫 𝐩𝐫𝐞𝐦𝐢𝐮𝐦 𝐉𝐨𝐛𝐬/Notes: https://t.me/AdarshChetan

ADARSH CHETAN pinned «What separates a 5 LPA Data Engineer from a 30 LPA Data Engineer?📉 The gap isn’t just about learning any tool! → It's about mastering the most in-demand tools! Most data engineers can write an SQL query, but very few can actually architect fault-tolerant…»

What separates a 5 LPA Data Engineer from a 30 LPA Data Engineer?📉 The gap isn’t just about learning any tool! → It's about mastering the most in-demand tools! Most data engineers can write an SQL query, but very few can actually architect fault-tolerant systems that can handle complex data workloads. And here is how you become one of those “few” Data Engineers that tech giants run after. Instead of just learning tools in confusion by yourself, here’s what you need: ✅Structured learning and guidance from professionals at the companies you’ve always dreamed of joining.. Now, if you’re unsure where to start, what to learn next, or how to level up as a Data Engineer, then Bosscoder Academy is the perfect platform for you. Check out their Data Engineering Program here: bcalinks.com/SsTkZJJ With this program, you’ll get: ✅1:1 MAANG Mentorship by Data Engineers at top tech giants (Microsoft, Google, etc.), learn by building high-scale end-to-end pipelines, and more. ✅ A Structured Curriculum to master DE Fundamentals, Big Data (Spark/Kafka), and Cloud Architecture (AWS/Azure/GCP) etc. ✅ High End Placement Support through resume building, mock interviews, and 100% job switch support ✅ 24/7 doubt support within a professional ecosystem designed to help you master complex concepts like Data Idempotency and Schema Drift. P.S. Start your transition today and get an additional 30% OFF on all programs for a limited time! 🎄

Topic wise patterns on Leetcode to master in DSA 𝐉𝐨𝐢𝐧 𝐭𝐡𝐢𝐬 𝐭𝐞𝐥𝐞𝐠𝐫𝐚𝐦 𝐠𝐫𝐨𝐮𝐩 𝐟𝐨𝐫 𝐩𝐫𝐞𝐦𝐢𝐮𝐦 𝐉𝐨𝐛𝐬/Notes: https://t.me/AdarshChetan Connect me on X : https://x.com/adarshchetan? 1. Graph https://lnkd.in/eKCM3Fnm 2. Binary Search https://lnkd.in/ecdDvJVH 3. Greedy https://lnkd.in/ejdhN2-g 4. Strings https://lnkd.in/eWk-eGvv 5. DP https://lnkd.in/eUccKXyM 6 Binary Search Patterns : https://lnkd.in/ejBmDhUw 7 Sliding Window Patterns:https://lnkd.in/eE-Tr7gF 8 Greedy Algorithm Patterns : https://lnkd.in/eeitFH5U 9 Tree Traversal Techniques: https://lnkd.in/ev2AMvSs 10 System Design: https://lnkd.in/ekGABk6Y 11 Math and Number Theory: https://lnkd.in/e-77tW6C 12 Bit Manipulation: https://lnkd.in/eEYFqpKg 𝙫𝙞𝙨𝙪𝙖𝙡 𝙚𝙭𝙥𝙡𝙖𝙣𝙖𝙩𝙞𝙤𝙣𝙨 𝙩𝙤 𝙘𝙤𝙙𝙞𝙣𝙜 & 𝘼𝙄 : https://adarshchetan.beehiiv.com/subscribe #SDE #remote #freshers

Amdocs is hiring Software Engineer Experience : Freshers ( 0-1years) Expected Salary : 15 - 20 LPA Apply link : https://lnkd.in/egQPW-ck Get refferal from employees directly : https://lnkd.in/e-hJY5fG Do follow AdarshChetan for more such amazing stuff ♥️ #career #jobs #opportunity #jobupdates #hiring #SDE #remote #freshers