Data Engineer | Building scalable data pipelines | SQL • PySpark • Snowflake • Databricks | Turning data into decisions |
Let's suffer with aim, shall we?
The goal isn't surface-level knowledge. It's to master the fundamentals so deeply that I can sit beside senior engineers, hold my own, and one day build bulletproof data pipelines. Back at it and leveling up every single day. 💻🔥
#DataEngineering#ApacheSpark#BigData
If data pipelines taught me anything, it's how to catch errors, refactor, and bounce back stronger. 🛠️ No matter the failure, I’m not backing down. Giving it my absolute all to land my next Data Engineer role very soon. Let’s build! 🚀📊
#DataEngineering#JobSearch#Resilience
Nothing beats handwritten notes✍️
Preparing for upcoming interviews and realizing that no matter your experience level, there's always more to learn
Currently geeking out over Spark internals AQE and handling data skew are just brilliant
The deeper you go, the better it gets!
I documented the entire project-from setup to deployment-so anyone can recreate it locally.
If you're learning cloud technologies, I hope it helps you too.
🔗 GitHub: https://t.co/UD1MReh6pt
Feedback and suggestions are always welcome!
#opensource#python
I wanted to learn AWS Lambda, S3, Azure Blob Storage, and Google Cloud Storage by actually building something.
Then I realized I'd need:
• 3 cloud accounts
• Billing setup
• Internet
• And the fear of accidentally leaving resources running
There had to be a better way...
👇
Through this project, I got hands-on experience with:
• Docker Compose
• Multi-cloud development
• AWS Lambda
• Event-driven architecture
• DynamoDB
• Python (boto3)
• Infrastructure automation
Building is still the best way to learn.
#DataEngineering#AWS#Docker
@Snowflake GitHub: https://t.co/dlC4U2bXJW
Repository:https://t.co/GBamfLCm1X
⭐ If you find it useful, I'd really appreciate a star.
I'd also love feedback from the @Snowflake and Data Engineering community.
🎯I challenged myself to answer one question:
Can you build an entire enterprise data platform using ONLY @Snowflake?
No Spark clusters.
No external ML servers
After weeks of building
I created Retail360
An AI-powered retail analytics platform built entirely inside Snowflake.
@Snowflake Retail360 started as a learning project but evolved into something that closely resembles how modern enterprise data platforms are designed.