💂‍♀️🛡️👀 Process Guardianship: The Most Valuable Data Engineering Work You're Probably Not Doing #dataengineering #dataquality #dataops https://t.co/rf3FeDlS4H

💂‍♀️🛡️👀 Process Guardianship: The Most Valuable Data Engineering Work You're Probably Not Doing #dataengineering #dataquality #dataops https://t.co/WcpzKyEsHu

The goal is to be too good to be ignored… While men sleep 🙇‍♂️🙇‍♂️ 2:00 AM check in. Who’s up?? #Datafam #DataEngineeringStudy #Dataengineering

🔗 Read the Blog: https://t.co/4T8tmyU369 #EnterpriseAnalytics #Snowflake #MicrosoftFabric #RealTimeData #DataEngineering #InfojiniBlogs

Consolidations in the #dataengineering market are happening fast. Tools from the MDS get unified into unified data platforms. The latest: - Fivetran → dbt - Fivetran → SQLMesh - Soda → nannyML - Snowflake → Crunchy Data - Databricks → Neon - Fivetran → Census - dbt → SDF

If you’re into Data Engineering and you don’t know this guy… you still playing bro. #DataEngineering

Data drives decisions. Efficiency powers progress. At #PyHo2025, @ce_akainettey explains how modern organizations harness data to engineer smarter, faster, and more impactful outcomes. Because efficiency isn’t accidental - it’s engineered. 🐍 #DataEngineering

The simpler the semantic model, the simpler everything else becomes. It must be number one, even if just for reports. This is why most are building lakehouses to drive and communicate information. #dataengineering #datamodeling https://t.co/RxoqQia9XL

From Databricks Lakehouse to FastAPI microservices— Here’s how we design data products that: 📊 Scale ESG reporting ⚡ Cut delivery times by 70% 🔒 Stay secure & compliant Frontline insights 👉 https://t.co/8Vh9T1qO8M #GoodFirms #Databricks #DataEngineering #ScalableTech

The #InfoQ AI & ML Trends Report is live! Get a comprehensive overview of the emerging trends in #AI, #ML & #DataEngineering! Our team breaks down the technologies you need to watch over the next 12 months. 🔗 Read now: https://t.co/qUnvlk2ixY 💪 Knowledge is power! #StayAhead

While men Sleep … At least when the NEPs allow me to 😂😂😂… I’m grinding. I’m doing everything within my power to turn my story… I cannot fail oh #Datafam #Dataengineering

Building data pipelines to fund my tea addiction ☕ #dataengineering #9to9

Just wrapped up an incredible experience at @databricks DevConnect Bangalore, a day full of deep dives, future-ready ideas, and powerful conversations around data & AI! #Databricks #DevConnect #ModelServing #CostOptimization #DataEngineering #BangaloreTech #AIInfrastructure

I’m excited to have contributed both as an organizer and a panelist at the first ever Data Engineering Community @data_dec meetup. #DataEngineering #DECMeetUp2025 #DECLagosMeetUp2025 #BigData #CommunityBuilding #DataEngineerCommunity

💂‍♀️🛡️👀 Process Guardianship: The Most Valuable Data Engineering Work You're Probably Not Doing #dataengineering #dataquality #dataops https://t.co/AorxADtQ2M

AI Data Engineer On Board 🤖 We design, build & maintain data pipelines that power ML & analytics. 💡 Scalable. Reliable. Efficient. Learn more 👉 [ https://t.co/7OKcCFkchJ] #AI #DataEngineering #MachineLearning #Analytics #ELITS

Legacy systems were slowing down innovation. BigRio built a cloud-native data ecosystem with real-time analytics and integrated pipelines for a top 15 pharma company. 👉Explore the full case study: https://t.co/1CyVZEQlBu #PharmaTech #CloudComputing #DataEngineering #AIinPharma

"Behind every powerful dashboard or AI model is a Data Engineer making it possible. They design the pipelines, structure the data, and ensure everything flows seamlessly so businesses can make smarter decision! #DataEngineering #DataEngineers #Analytics #ReadWriteDataSolutions

#DataEngineering Best Practices — Architect robust and cost-effective data solutions in the cloud era: https://t.co/9tOrI9SM8s 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: 🟠 Architect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectiveness