DATA ENGINEERING @dataengwithaws
upgrade your knowledge in DATA ENGINEERING with A W S iexpertify.com Joined August 2023-
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(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
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"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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