Confused between Data Engineer, Data Analyst, and Data Scientist roles? Let's break it down simply 🚀 Data Engineer 🚀 ✅ Main Role: Build and maintain scalable data pipelines and architectures 🎯 Skills/Tools: AWS, Apache Spark, Python, SQL, Airflow, Databricks 🔶 Typical Work: Design data warehouses & data lakes Ensure data is clean, organized & accessible Optimize data pipelines for analytics & ML 🚀 Data Analyst 🚀 ✅ Main Role: Interpret data and generate actionable insights 🎯 Skills/Tools: Excel, SQL, Power BI, Tableau, Pandas 🔶 Typical Work: Analyze data to uncover trends Build dashboards & visualizations Support business decisions through insights 🚀 Data Scientist 🚀 ✅ Main Role: Solve problems using ML, statistics, and Al 🎯 Skills/Tools: TensorFlow, Scikit-learn, Python, Keras, PyTorch 🔶 Typical Work: Develop & deploy machine learning models Perform statistical & predictive analysis Drive innovation through experimentation