PLATFORM

AI & Data Engineering Platform

A structured roadmap for data engineering education and the technology foundation behind financial-data and AI products.

LEARNING PATHS

Build skills in the order real projects need them.

01

01 — Foundations

Core programming and database skills used in data engineering.

PythonSQLLinuxGitPostgreSQL
02

02 — Distributed Processing

Understand distributed computation and data processing patterns.

Apache SparkPySparkPartitionsJoinsOptimization
03

03 — Streaming

Design event-driven and near-real-time pipelines.

KafkaSpark StreamingSchemasCheckpointingDLQ
04

04 — Cloud Data Engineering

Build cloud-native ingestion, storage and processing workflows.

AWSAzureS3GlueADFDatabricks
05

05 — Lakehouse & Warehouse

Model analytical data for scalable consumption.

Delta LakeIcebergSnowflakeRedshiftDimensional Modeling
06

06 — Production Engineering

Operate pipelines with reliability, governance and delivery controls.

AirflowCI/CDData QualityMonitoringSecurity
PROJECT-BASED

Move from notes to implementation.

Project labs connect the learning paths to realistic data-engineering architectures and operational concerns.

Batch

ETLData QualityWarehouseIncremental Loads

Streaming

KafkaSpark StreamingCheckpointingDLQ

Cloud

AWSAzureDatabricksSnowflake

Operations

AirflowMonitoringCI/CDGovernance