WHAT THE F*CK ARE YOU AFRAID OF
- Death : We’re all gonna die.
- Bankruptcy : You can make it all back.
- Shame : Everyone will forget in a week.
- Rejection : It happens to everyone.
- Failure : It’s part of the path.
- Judgment : They’ll judge anyway.
- Losing people : Not all are meant to stay.
- Making mistakes : You’ll survive them.
- Taking risks : Regret hurts more.
Live every day like it's your last day.
AI for Data Engineering Roadmap 2026 (Quick Guide📝)
Built for engineers who want to ship, not just prompt.
🟦 𝗣𝗵𝗮𝘀𝗲 𝟭 — 𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝘃𝗶𝘁𝘆 (𝘁𝗵𝗲 𝗶𝗺𝗺𝗲𝗱𝗶𝗮𝘁𝗲 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲)
→ Module 1: AI-Powered DE Foundations — landscape, prompt engineering, verifying AI outputs, ethics
→ Module 2: AI for SQL & Analytics — text-to-SQL, query optimization, AI dashboards, data quality
→ Module 3: AI for Pipeline Development — Spark, dbt, Airflow with AI, self-healing pipelines, CI/CD
What you'll be able to do: ship pipelines 2× faster with AI tools — and know when to trust the output.
🟩 𝗣𝗵𝗮𝘀𝗲 𝟮 — 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 (𝘁𝗵𝗲 𝘀𝗰𝗮𝗿𝗰𝗲 𝘀𝗸𝗶𝗹𝗹𝘀)
→ Module 4: Vector Databases & Embeddings — Pinecone, Weaviate, pgvector, hybrid search, real-time indexing
→ Module 5: RAG & LLM Infrastructure — architecture, chunking strategies, production-grade RAG, evaluation
→ Module 6: Feature Stores & ML Data Infrastructure — Feast, Tecton, Databricks, online/offline serving, LLMOps
What you'll be able to do: build the AI systems companies are actually hiring for in 2026.
🟧 𝗣𝗵𝗮𝘀𝗲 𝟯 — 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 & 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻 (𝘁𝗵𝗲 𝘀𝗲𝗻𝗶𝗼𝗿 𝘁𝗶𝗲𝗿)
→ Module 7: AI on Modern Cloud Platforms — AWS / GCP / Azure / Databricks / Snowflake Cortex, cost optimization, governance
→ Module 8: AI Data Engineering System Design — recommendation systems, enterprise RAG, fraud detection, multi-modal, scaling to millions
What you'll be able to do: lead the AI data conversation in your team — and design the architecture, not just ship pieces.
The truth about 2026:
Companies don't need more engineers who can prompt.
They need engineers who can build the systems behind the prompts.
That's what this roadmap is for.
A few months back, I published this guide on how to remember everything you read.
Re-sharing it here for anyone who finds these protocols useful.
(1/11)
Recruiters are cooked. 🤯
Claude can now read your resume and pull the highest-paying job roles you actually qualify for. ranked. in one chat.
here's the whole setup:
→ connect apify to Claude. https://t.co/nEyboKc0jy, search and tools, add connectors, Apify. one click.
→ drop your resume in the chat. "based on my resume, find the highest-paying roles i should apply for right now." it pulls live listings from internet and ranks them by fit to your real experience, salary attached.
→ pick one. "tailor my resume for this role." it rewrites the keywords and framing to that exact job description.
no fake "interview odds." real listings, ranked to you, then your resume rebuilt for the one you pick.
the part of the job hunt you paid a recruiter for is now a chat window.
Your Obsidian vault is probably dead.
Not empty.
Dead.
Because saving information is not the same thing as building intelligence.
Right now millions of people are spending hours building “second brains” that never think back.
Beautiful folders.
Perfect tags.
Endless highlights.
And absolutely zero cognitive leverage.
The scary part?
AI is about to make this gap brutally obvious.
Most people will use AI like a smarter Google:
ask question → get answer → forget answer.
But a small group is building something way more dangerous:
AI connected to years of personal context.
Their notes.
Their ideas.
Their unfinished thoughts.
Their reading history.
Their obsessions.
Their patterns.
At that point AI stops acting like a chatbot.
And starts acting like a cognitive extension of the person using it.
That changes everything.
Because the biggest advantage in the AI era will not be prompts.
It will be accumulated context.
People with connected knowledge systems are going to think faster, write better, learn quicker, and spot opportunities earlier than everyone else.
Not because they’re smarter.
Because they stopped starting from zero every day.
Most vaults are storage systems.
The best ones become intelligence systems.
The revised timings of Train 66595/6 are extremely disappointing and appear to have been planned without considering daily commuters. This change will affect 100% of office goers, students, and elderly passengers who depend on this train every day. @drmsbc@SWRRLY@VSOMANNA_BJP
Forget expensive AI degrees.
Anthropic just released free AI courses with certificates that teach the same skills companies actually hire for.
Here are 9 worth taking immediately:
If I were in my 30s or 40s & wanted to retire in the next 10 years using AI, here’s exactly what I’d do:
1. Set up an LLC immediately. Not next month. Not after you "feel ready." This week.
BREAKING: I asked Claude to upgrade my LinkedIn profile.
It didn’t just “upgrade” it. It turned it into a recruiter magnet.
Here are the exact 7 prompts I used: