Cloud Data Engineering.
Build your next skill.

Format: 35 training days, live online. Foundation-to-project coverage with guided practice. Exact pace and batch schedule are agreed with the trainer.

Prerequisites: SQL and Python basics; comfortable with spreadsheets and files.

Days 1-5 | SQL and Python foundations

• SQL joins, CTEs, window functions and query practice
• Python collections, functions, exceptions, virtual environments and file processing
• Git basics and a small data-cleaning exercise

Days 6-10 | Cloud storage and data modelling

• Cloud object storage, IAM and safe lab setup
• CSV, JSON and Parquet; partitioning and schema design
• ETL vs ELT, warehouses, lakes and bronze/silver/gold layers

Days 11-15 | Spark and Databricks

• Spark execution basics, DataFrames and Spark SQL
• PySpark joins, aggregations, null handling and performance basics
• Databricks notebooks, Delta Lake tables and basic access controls

Days 16-20 | Reliable ETL pipelines

• Incremental loads, merge/upsert patterns and change-data-capture concepts
• Data quality rules, schema evolution, deduplication and tests
• Build a batch ingestion-to-curated-table pipeline

Days 21-25 | Kafka and streaming

• Kafka topics, partitions, keys, producers and consumers
• Offsets, consumer groups and delivery-semantics trade-offs
• Spark Structured Streaming, checkpoints and a small event pipeline

Days 26-30 | Orchestration and operations

• Schedule dependent jobs; retries, parameters and environment configuration
• Logs, monitoring, permissions, secrets and cost awareness
• Version-controlled pipelines and introductory CI checks

Days 31-35 | Capstone and interview practice

• Build and present a small batch-and-streaming pipeline using a public dataset
• Document architecture, data quality checks, recovery steps and limitations
• SQL/Python exercises, project walkthrough and mock interview

Training and interview preparation

• Live online training with guided exercises and project discussion.
• Interview preparation, technical questions and mock interview practice.
• Live demo video available. Ask the team to arrange the demo and confirm the batch details.

This is a practical learning plan, not a promise of certification, a job or production-level expertise in 35 days. Cloud labs or model APIs may have usage costs; confirm lab access with the trainer before starting.