Abdullah @Aksoft_engineer
Currently Locked in on the learning journey #6MonthsOfLockIn. Ml/Dl, MLops, Development, GYM, AI Engineering, System Design. In love with @porsche Localhost:8080 Joined November 2024-
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2026 Data Engineering Roadmap 📊 Stage 1: SQL Stage 2: Python Stage 3: Data Modeling Stage 4: ETL Pipelines Stage 5: PostgreSQL Stage 6: Spark Stage 7: Airflow Stage 8: Data Warehousing Stage 9: Cloud (AWS/GCP/Azure) Stage 10: Streaming Systems Stage 11: Data Quality + Monitoring Stage 12: Production Pipelines Data scientists get the spotlight. Data engineers move the data.
Best thing about using Claude is that before it starts hallucinating they simply ends the session limit. No BS, straight turn off.
I have my first ever Associate Software engineer interview scheduled in next 3 days, how do i prepare for it? Please share material and resources.
@eng_khairallah1 @eng_khairallah1 is it to be done with claude code or claude cowork?
@AnshLambaJSR @AnshLambaJSR Its a request if you can please Upload a complete end to end project Of actual scenario/use case of data engineer using all data engineering tools and these AI tools, so we can walk through with actual project. Project can be of like which we can use in portfolio.
@AnshLambaJSR @Azure @MicrosoftEDU @Microsoft @AnshLambaJSR Its a request if you can please Upload a complete end to end project Of actual scenario/use case of data engineer using all data engineering tools and these AI tools, so we can walk through with actual project. Project can be of like which we can use in portfolio.
AI in production still follows the same IT principles: • Least privilege • Auditability • Observability • Rollback plans
Until and Unless you dont define your destiny Your end goal Your purpose It is very hard to move blindly and just chase out there anything and everything Sit Talk Explore Find Then stick to it and be master of it.
Revised Plan for #6MonthsOfLockIn: 🎓AWS cert (Cloud Practitioner / Solutions Architect) 🐍Master Python + FastAPI & Django 🤖GenAI/AI Engineering 💻TS 💻Next.js 🚀Deepen DevOps & MLOps 🧠DSA, OOP & DBs. Later if time allows, Automation mastery Locked in. 🚀
Life Update Lately: Got an A in my FYP 1 Got an A in Devops Course Survived a heavy semester Explored new niches Met amazing people Started AWS cert prep Finished Software Architecture for Large‑Scale Systems on Udemy. Started Deep learning course on Coursera
@SystemsLtd Learned About GenAI Learned basics about RAG Learned Basics about Langchain Tried to understand Gitflow
Learned to make CI/CD pipelines Learned Docker Attended a WorkShop @SystemsLtd and learned that how important Cloud is. Showed at GYM 3/4 days a week
Life Update Lately: Got an A in my FYP 1 Got an A in Devops Course Survived a heavy semester Explored new niches Met amazing people Started AWS cert prep Finished Software Architecture for Large‑Scale Systems on Udemy. Started Deep learning course on Coursera
At this point of time you only can learn software engineering through two ways 1)By making projects 2)By going through case studies, codebases, reading functionalities, understand existing systems and their flows. (1)
👉 Have you ever worked on a product that succeeded technically but the business failed? What was the missing link in your experience?
💡The beauty of DDD is that it helps you build better systems and better businesses
A successful product ≠ a successful business. We’ve all seen brilliant products… but the company behind them collapses.
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