Analytic Sages

Blockchain & Web3 Engineering Programme

Blockchain Data Engineering Programme

Build the Infrastructure Behind Blockchain Data.

Learn how to extract, transform, store and deploy real onchain data pipelines using Python, SQL, Web3.py, PostgreSQL, dbt and modern data engineering tools.

5 Modules · 10 Weeks · 30 Sessions · Learn by Building

Project-Based Learning

Join the Next CohortView Curriculum

$200

Blockchain Data Engineering programme

Blockchain Data Is Growing. So Is the Need for Infrastructure.

Blockchains generate massive volumes of transactions, smart contract events and protocol activity. Raw blockchain data isn't immediately useful.

Extracted → Processed → Stored → Transformed → Automated → Served

Blockchain Data Engineers build the systems that make this possible.

What Is Blockchain Data Engineering?

Blockchain Data Engineering is the process of building systems that collect, process, transform and serve blockchain data. A Blockchain Data Engineer may work with:

  • Blockchain RPCs
  • Smart contract events
  • Transaction data
  • Event logs
  • APIs
  • Databases
  • Data warehouses
  • ETL and ELT pipelines
  • Streaming systems
  • Cloud infrastructure

Learn Blockchain Data Engineering by Building Real Onchain Data Systems.

Don't Just Learn Tools. Learn How the System Connects.

Project-Based Learning

Most beginners learn tools separately. Real engineering happens when Python, SQL, Docker, databases and APIs work together. At Analytic Sages, you'll progressively connect the pieces.

  1. 1

    Blockchain & RPC Data

  2. 2

    Python + Web3.py Extraction

  3. 3

    Data Ingestion Pipelines

  4. 4

    PostgreSQL

  5. 5

    dbt Transformation

  6. 6

    Workflow Orchestration

  7. 7

    Streaming & Real-Time Data

  8. 8

    APIs & Data Products

  9. 9

    Cloud Deployment

Learn → Build → Debug → Improve → Ship

Build Real Onchain Data Systems

Learn Blockchain Data Engineering by building real onchain data systems — pipelines, warehouses, transformations, APIs and cloud deployment.

  • Blockchain Data Pipelines

    Extract transactions, logs and smart contract events from blockchain networks.

  • Onchain Data Warehouses

    Store and structure blockchain data for analysis and applications.

  • Analytics Engineering Pipelines

    Transform raw blockchain data into reliable datasets using dbt.

  • Automated Data Workflows

    Schedule and monitor pipelines using orchestration tools like Prefect and Apache Airflow.

  • Real-Time Blockchain Systems

    Explore streaming architectures and event-driven data processing with Apache Kafka.

  • Blockchain Data APIs

    Build FastAPI services that make structured onchain data available to applications.

  • Deployable Data Products

    Take projects from local development to cloud infrastructure on AWS, Google Cloud, Railway or Render.

Build Your Blockchain Data Engineering Stack

Learn the fundamentals so you understand how data systems work — and explore modern tools so you understand where the industry is heading.

Programming & Data

PythonSQL

Blockchain Data Extraction

Web3.pyRPC ProvidersHTTP APIsAsyncio

Data Storage

PostgreSQL

Data Transformation

dbt

Infrastructure

DockerDocker Compose

Workflow Orchestration

PrefectApache Airflow

Real-Time Data

Apache Kafka

Data Products

FastAPI

Cloud & Deployment

AWSGoogle CloudRailwayRender

Built for Technical Builders

  • Aspiring Blockchain Data Engineers
  • Data Analysts moving into Engineering
  • Python Developers entering Web3
  • Software Engineers interested in blockchain infrastructure
  • Onchain Analysts who want to build their own data pipelines
  • Technical Researchers
  • Builders interested in DeFi and financial infrastructure

Where Can Blockchain Data Engineering Take You?

The skills developed in this programme can support career paths such as:

  • Blockchain Data Engineer
  • Web3 Data Engineer
  • Onchain Data Engineer
  • Data Engineer
  • Onchain Analytics Engineer
  • Analytics Engineer
  • Data Infrastructure Engineer
  • Blockchain Research Engineer

The exact tools vary by company and role, which is why the programme focuses on both foundational engineering concepts and exposure to modern data infrastructure.

What You'll Leave With

By the end of the programme, you should have practical experience with:

  • Extracting real blockchain data via RPCs and Web3.py
  • Building blockchain data ingestion pipelines
  • Designing PostgreSQL warehouses for onchain data
  • Transforming data with dbt and analytics engineering patterns
  • Containerising applications with Docker
  • Automating workflows with Prefect and Apache Airflow
  • Understanding streaming data and Apache Kafka architectures
  • Building blockchain data APIs with FastAPI
  • Deploying practical data products to the cloud

Most importantly: you'll have built things.

Your 10-Week Learning Journey

5 Modules · 10 Weeks · 30 Sessions · Learn by Building

Project-Based Learning — each module builds on the last until you can ship a connected system.

  1. Module 1Blockchain & Data Engineering Foundations
  2. Module 2Blockchain Data Extraction & Pipeline Engineering
  3. Module 3Data Warehousing & Analytics Engineering
  4. Module 4Production Data Systems & Automation
  5. Module 5Cloud Deployment & Capstone Project

30 Practical Sessions. One Connected Engineering Journey.

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Pricing & payment

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FAQ

Don't just analyse the blockchain.

Build the infrastructure behind it.

Learn Blockchain Data Engineering by Building Real Onchain Data Systems.

Join the Next CohortView Curriculum
Join cohort · $200