Hi,.If you are interested in:.👨‍🔧 Data Engineering.📈 Data Science & Analytics .☁️ Cloud Computing .📗 Productivity .👨‍💻 Freelancing .🐍 Python.🗄️ SQL. and overall data-related info ✅Follow Button . I am very active on YT & Linkedin now planning to do the same on Twitter.

RT @thedatavidhya: Go 0→1 in Data Engineering Projects:. • Use real datasets (e.g., Uber trips). • Design fact & dimension models. • Write….

LEARN DATA ENGINEERING LIKE NEVER BEFORE. 6 Course Combo Pack with 16+ Projects + Coding Platform. Courses.- Kafka for Data Engineering.- Apache Airflow for Data Engineering.- Apache Spark with Databricks.- Data Warehouse with Snowflake.- SQL for Data Engineering.- Python for.

🚨 Hot take: Building pipelines isn’t the hard part anymore ❌. In 2024, every tool promises low-code, auto-scaling, and ‘just connect your data!’. But here’s what nobody tells you:. ✅ You can build a pipeline in 10 minutes. ❌ But making sure it’s reliable, trustworthy, and

RT @thedatavidhya: Why Data Engineering offers higher job security. follow for more

LEARN DATA ENGINEERING LIKE NEVER BEFORE. 6 Course Combo Pack with 16+ Projects + Coding Platform. Courses.- Kafka for Data Engineering.- Apache Airflow for Data Engineering.- Apache Spark with Databricks.- Data Warehouse with Snowflake.- SQL for Data Engineering.- Python for.

⚔️ ETL is dead. Long live ELT. Remember when ETL meant writing Python scripts, scheduling cron jobs, and transforming data before it ever touched a database?. Not anymore. In the modern data stack, here's what happens:. 🚛 Extract: Pull raw data from APIs, databases, SaaS tools

GET HIGH QUALITY DATA ENGINEERING NEWSLETTER -

Data Engineering Insight That’ll Blow Your Mind:. Companies like Netflix process hundreds of billions of events per day from user interactions. But here’s the crazy part. 👉 Most of that data never gets stored permanently. It’s analyzed, aggregated, and discarded: all within.

RT @thedatavidhya: Apache Stack for Data Engineers. • Apache Spark — distributed processing for big data.• Apache Kafka — real-time data st….

LEARN DATA ENGINEERING LIKE NEVER BEFORE. 6 Course Combo Pack with 16+ Projects + Coding Platform. Courses.- Kafka for Data Engineering.- Apache Airflow for Data Engineering.- Apache Spark with Databricks.- Data Warehouse with Snowflake.- SQL for Data Engineering.- Python for.

📉 Data Engineering is misunderstood even in 2025. Startups still think they don’t need Data Engineers. Until they’re drowning in messy dashboards, missing reports, broken pipelines, and paying 10x in Snowflake bills 🫠. Let’s be clear:.❌ Data Engineering is not just writing

You build a sales analytics dashboard for a fast-growing SaaS company. A regional manager switches from “North America” to “Europe”. 💀 BOOM. Dashboard freezes. Takes 10 seconds to load. Queries hit raw fact tables. No pre-aggregation. No caching. User: "Why is it this slow.

RT @thedatavidhya: Evolution of Data Engineering From Hadoop. Follow Datavidhya for more

RT @thedatavidhya: Build a Solid Data Engineering Portfolio:. • Add architecture & data model diagrams.• Include transformation & pipeline….

🚨 Introducing hashtag#11DaysOfSQL – A Free Challenge for Aspiring Data Engineers & Analysts 🚨. Struggling to crack SQL interviews?. Jumping from one resource to another without real structure or hands-on practice?. We hear you. That’s why we’re launching 11 Days of SQL:. A

managed to keep AWS cost around $200 till now, but once we launch our lab feature, this is going to shoot up $700-$800. labs feature is complete cloud access with customized infra.

RT @thedatavidhya: Excel to SQL for Analysis. Excel is cell-based and manual. SQL is schema-based and scalable. • Joins > VLOOKUP.• Write-o….

LEARN DATA ENGINEERING LIKE NEVER BEFORE. 6 Course Combo Pack with 16+ Projects + Coding Platform. Courses.- Kafka for Data Engineering.- Apache Airflow for Data Engineering.- Apache Spark with Databricks.- Data Warehouse with Snowflake.- SQL for Data Engineering.- Python for.

🚀 Top Open-Source Tools Every Data Engineer Should Know in 2025 🛠️. In the world of data engineering, open-source tools are the real MVPs. Open Source has changed the life of Data Engineers, be it Hadoop, Spark, Airflow, and many more. Here are some of the top open-source

RT @thedatavidhya: Data Engineering Mistakes to avoid. follow for more