Data engineering for beginners: Learn SQL, Python & Spark

Launch your career in one of tech's fastest-growing fields with the complete data engineering toolkit that top companies demand. Data Engineers are the backbone of every data-driven organization, designing and building the infrastructure that powers big data analytics, machine learning, and business intelligence. Master the essential skills that command premium salaries across finance, healthcare, e-commerce, and AI-driven industries. Complete Technology Stack: SQL Mastery (PostgreSQL) - Advanced queries, window functions, performance optimization, and debugging Python for Data Processing - Pandas, data manipulation, File Format Converter, and Database Loader projects Apache Spark (PySpark) - Big data processing, Delta Tables, CRUD operations, and Spark optimization Cloud Deployment (Databricks on GCP) - Multi-node clusters, job execution, and enterprise-scale data pipelines Real-World Application: Build actual batch and streaming data pipelines that solve business problems. Work on practical projects that demonstrate your ability to handle enterprise-level data challenges. Performance Excellence: Master query optimization, partitioning strategies, Spark Catalyst Optimizer, and debugging techniques that separate professional data engineers from beginners. Career-Ready Skills: From PostgreSQL setup to cloud-based Databricks deployment, gain hands-on experience with the exact technologies used by companies processing millions of data points daily. Beginner-Friendly Progression: Start with fundamentals and build to advanced topics through step-by-step guidance and comprehensive hands-on exercises.