Post by Asmita Kaushal
Senior Data Engineer | Business Systems Analyst | AML & Financial Crime @ RBC | Data Analytics • SQL • Python | Ex-IBM
Most people trying to become Data Engineers focus on just SQL or Python. But real Data Engineering looks more like this. A stack of skills working together: • SQL for querying and data manipulation • Python for pipelines and automation • ETL for moving and transforming data • Big data tools like Hadoop and Spark • Data modeling for efficient structures • Data warehouses for analytics • Databases like MySQL and PostgreSQL • Cloud platforms like AWS, Azure, GCP • Data integration across systems • Data quality management • Workflow orchestration tools like Airflow No one learns all of this overnight. The key is understanding the map before starting the journey. So I put together a simple Data Engineering roadmap to visualize the path. If you're starting your journey in data, this might help. 🩷 ♻ Found it useful? Share it 💭 Which part of this roadmap feels the most confusing to you? Follow Asmita Kaushal for more ✨ #DataEngineering #DataEngineer #Data #WomenInTech #TechCareers