Top Tweets for #ShashTalks
Most Data Engineers know Apache Iceberg exists.
But very few understand how it powers a modern data stack.
Here’s how Iceberg enables ACID compliance, Delta Lake integration, and scalable ingestion workflows 🧵
#DataEngineering #ModernDataStack #ShashTalks
Myth: You need a CS degree to be a data engineer.
Truth: Skills matter more!
Many data engineers come from diverse backgrounds. Don’t let a degree stop you.
#DataMyths #TechTruths #DataEngineering #CareerGrowth #Shashtalks
Mastering AWS as a Data Engineer?
Start here → 15 services you actually need to know (not just what's trending).
Saves you hours of Googling. Bookmark this
#AWS #DataEngineering #ShashTalks #CloudComputing
Today I'm helping career switchers break into Data Engineering.
Confused about tools, roadmaps, or how to stand out?
Ask away👇
I'll answer every question in the replies. #shashtalks #careeradvice
What will you fill in this blank ?
Data Engineering is ____.
My answer :
Data Engineering is like plumbing for data! No one notices when it works perfectly, but the moment something breaks, everyone panics and blames you! 😂
#shashtalks #dataengineering
Your First 30 Days as a Data Engineer 🗓️
1️⃣ Focus on learning team culture
2️⃣ Master core tools like SQL & Airflow
3️⃣ Understand the pipeline structure
4️⃣ Don’t shy away from debugging
5️⃣ Prioritize communication with stakeholders
#DataEngineering #CareerTips #shashtalks
Pandas for Data Engineers 🐼
1️⃣ Simplifies Data Wrangling
2️⃣ Optimizes Data Analysis
3️⃣ Makes SQL data migrations easier
4️⃣ Handles large datasets with ease
5️⃣ Essential for automating data processing!
What are you thoughts on pandas?
#Pandas #DataEngineering #shashtalks
Cracking Data Engineering Interviews 💡
1️⃣ Focus on fundamentals
2️⃣ Practice with real-world projects
3️⃣ Know your tools (SQL, Spark, Airflow)
4️⃣ Prepare for system design questions
5️⃣ Research the company & its data needs
#DataEngineering #JobInterviews #Shashtalks
5 Resume Mistakes That Cost You a Data Engineering Job
💡 Fix these ASAP:
❌ Generic resume (not tailored)
❌ No measurable impact
❌ Listing tools without context
❌ No project links/GitHub
❌ Ignoring soft skills
👉 Save this for later!
#dataengineeringroadmap #shashtalks
Top Data Engineering Tools for 2025 🛠️
1️⃣ Apache Kafka
2️⃣ AWS Redshift
3️⃣ DBT
4️⃣ Airflow
5️⃣ Snowflake
Master these tools to stay ahead of the curve! 🚀
DataEngineering #TechTools #Shashtalks
Unlock Google BigQuery’s Power 🚀
1️⃣ Optimize Query Performance
2️⃣ Master Partitioning & Clustering
3️⃣ Automate Data Ingestion
4️⃣ Learn Cost Management
5️⃣ Leverage BigQuery ML for AI-driven Analytics
#BigQuery #DataEngineering #Shashtalks
What Makes a Data Engineer Stand Out?⭐
✔️Clean & Efficient Code
✔️Understanding Business Requirements
✔️Optimizing Data Pipelines for Speed & Cost
✔️Automating Everything
Strive to be a business-critical asset!🚀 #Techtips #Shashtalks
Top 5 Skills for Freelance Data Engineers 💰
⚡️SQL & Python
⚡️Cloud & Data Engineering Tools
⚡️Efficient ETL Automation
⚡️Client Communication & Business Value
⚡️Networking & Marketing Yourself
Build your brand & secure the bag! #Freelancing #Shashtalks
3 Data Engineering Mistakes to Avoid 🚫
Overcomplicating Pipelines
Neglecting Data Quality
Skipping Testing & Monitoring
Fix these, and you’ll level up fast! 💪 #Shashtalks #Careergrowth
Data Engineering Essentials for 2025 🛠️
⚡Cloud Platforms (AWS, GCP, Azure)
⚡Real-Time Processing (Apache Kafka, Spark)
⚡Data Quality & Governance
⚡Data Contracts
Stay sharp and stay relevant! 💼 #Shashtalks #techskills
Want to Future-Proof Your Data Engineering Career? 🚀
✅Master Data Mesh
✅Learn Streaming-first Pipelines
✅Deep Dive into Data Governance
✅Automate DataOps with AI
These skills will make you indispensable in 2025!💡
#DataEngineering #FutureSkills #Shashtalks
The best advice?
Never trust your data until you’ve seen it with your own eyes—twice. #shashtalks
Shoutout to all the data engineers who make the impossible happen. You inspire us all! #shashtalks #buildinpublic
Before blaming your database performance, check for duplicate records! 🚀
✅ Run COUNT(*) to spot unexpected duplicates
✅ Use DISTINCT for quick fixes
✅ Apply ROW_NUMBER() to retain unique records
Duplicate-free data = Faster, cheaper pipelines!
#shashtalks #database
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