(Summary thread):
📷 What we learned this week at @dataengwithaws
📷 Where to start as a beginner
📷 AWS tools for smarter pipelines
📷 Personal stories from the trenches
📷 How to build a modern lakehouse stack
Follow for more next week 📷
and don’t forget to touch grass
"Fun Friday / Weekly Wrap"
Light content, summarize week, build community feel.
data eng tip before the weekend:
take time to document your pipeline.
yes even if it’s ugly. especially if it’s ugly.
future you will thank you 📷
Want a Notion board with step-by-step AWS projects?
thinking of putting one together for free.
Like this tweet if that sounds helpful 📷
might just drop it soon 📷
"Deep Dive Thread Day"
Showcase expertise, provide value, attract retweets.
📷 Building a Data Lake on AWS (2025 Edition)
Tired of theory? Here’s a real-world stack that works 📷
Ingest → Kafka / Kinesis
Buffer → S3 (raw zone)
Process → Glue / Lambda / EMR
Store → S3…
(Engagement tweet):
Data engineers, what’s one AWS service you wish you learned earlier?
I’ll start:
📷 Step Functions. Saved me from messy spaghetti code flows.
reply and share yours 📷
"Real Talk Wednesday"
Show vulnerability, personal story, engagement driver.
I failed my first data pipeline project. like BAD.
no retries
broke on nulls
cost $700 overnight
but I learned more in those 3 days than any course ever taught me
One underrated AWS combo for beginners:
📷 CloudWatch + SNS
Monitor logs or ETL job failures
Automatically send alerts to email/Slack
It's like having a robot yell at you when stuff breaks 📷
and honestly.. we all need that
"Tips & Tools Tuesday"
Share actionable tips and resources for current & aspiring data engineers.
If you’re still writing batch jobs for everything, try this instead:
📷 Lambda + EventBridge for real-time triggers
📷 Glue streaming jobs for incremental ETL
📷 Kinesis for…
(Visual + Short Thread):
📷 5 AWS services every beginner data engineer should mess with:
(a tiny thread)
S3 – your data lake starts here
Glue – managed ETL + crawlers
Lambda – serverless magic
Athena – SQL on files 📷
CloudWatch – logs or it didn’t happen
Just play with them.…
"Foundations & Vibes"
Attract beginners, build emotional connection, start light.
data engineering seems complex when you're just starting out. pipelines, spark, cloud, kafka.. it’s a lot
but here's the truth — you don't need to learn everything at once. start small. pick a tool.…
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