Home / LinkedIn creators / Ajay Kadiyala
Senior Data Engineer @ ENBD | Azure • Databricks • PySpark • SQL | I simplify Data Engineering, interviews & real-world project learning for 200K+ professionals
We read 171 of their posts. Here is what they actually do.
Average likes per post, by month.
That puts them in the 77th percentile of the 1,360 creators we track in the 100K to 1M follower band. Reach is not the same as resonance, and this is the ratio that separates them.
The opening line of their best-performing posts. This is what stops the scroll.
What they post about, with a line from a real post as evidence.
Curated free link lists for Data Engineering tools and YouTube channels.
Posts detailing failed interviews, tough SQL questions, and salary growth milestones.
Breakdowns of CI/CD, data modeling, and comparing cloud data platforms.
The repeatable moves that show up across their best posts.
Patterns that separate their top posts from the rest.
Every post, grouped by day of week.
Best day is Friday at 829 average likes.
Text, image, video or carousel, ranked by what actually lands for them.
| Format | Posts | Avg likes | |
|---|---|---|---|
| Video | 5 | 786 | |
| Carousel | 21 | 780 | |
| Image | 111 | 752 | |
| Text only | 34 | 744 |
How their posts are built, measured across every post we analysed.
Moves you can apply to your own posts this week.
Ranked by likes, across everything we analysed.
Youtube Channels to learn data engineering in 2025.... Apache Spark – https://lnkd.in/g2C7559h Kafka – https://lnkd.in/gCXJb2fr Apache Airflow – https://lnkd.in/gYyAxNE6 Snowflake – https://lnkd.in/gDhBv5SB Tableau – https://lnkd.in/gjBmRnYM PostgreSQL – https://lnkd.in/gbSUVdSR
Is it True??
🚀 Python Tools You Actually Need for AI Projects.... One question I get a lot is: 👉 “What tools should I really learn for AI?” The answer isn’t one framework — it’s an ecosystem.
“Should I learn AWS, Azure, GCP, Databricks, or Snowflake?” If you’re confused, you’re not alone. Let me simplify this for you based on how these platforms are actually used in the real world. First, understand this clearly: AWS, Azure, and GCP are cloud providers.
CI/CD for Data Engineering 🚨 Not just code. Your data depends on it. Ever seen this happen? ✅ Pipeline is GREEN ❌ Dashboards look WRONG 📉 Business asks, “What changed?” Most of the time, the answer is simple: No CI/CD for data pipelines.
Comparable follower counts, analysed the same way.
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Built from public LinkedIn posts, last refreshed 2026-10-24. Follower counts and engagement change over time. Ajay Kadiyala is not affiliated with 2pr.io.