Cloud, Data & Fullstack Engineer

I design cloud systems that scale — and build people that do too.

I'm Adefemi Sanyaolu — fullstack, platform, and data engineer. I build production-grade systems with Next.js, React, and AWS — Lambda, API Gateway, DynamoDB, and more — for SaaS, data platforms, and infrastructure used by real organizations. I also mentor the next generation through M4ACE.

Focus:Cloud Engineer

View my architecture projectsSee my community impactWork with me
Adefemi Sanyaolu - Cloud, Data & Fullstack Engineer

About

Systems over code.

Most engineers focus on writing code. I focus on designing systems — systems that move data reliably, scale under pressure, and deliver business decisions in real time.

I work as a cloud engineer, fullstack developer, SaaS system builder, and data & infrastructure engineer. My journey wasn't accidental — I became obsessed with how infrastructure and product decisions affect cost, scalability, and business growth. That pushed me deep into Infrastructure as Code (Terraform), data pipelines (Airflow + S3 + Redshift), containerization (Docker, ECR, ECS), CI/CD, fullstack (Next.js, React), and AWS serverless and managed services (Lambda, API Gateway, DynamoDB, and more). I build real-world systems used by organizations.

Beyond technology, I believe access changes lives. That belief led me to co-build Mentorship for Acceleration (M4ACE) — helping people transition into tech through mentorship, structured learning paths, and career acceleration.

I don't just deploy infrastructure. I build ecosystems.

Featured work

Architecture & projects

data

Travel Agency Data Platform

End-to-end analytics pipeline for travel booking and operations

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cloud

ECS + Fargate Deployment with Terraform

Serverless container orchestration with full IaC

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devops

Full-Stack Blog Platform

React frontend, serverless AWS backend

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Real-world systems

More production work

Systems built for organizations: security training, learning platforms, and enterprise SaaS. Fullstack, cloud, and platform engineering in production.

platform

NoughtTrapper

Organizational security awareness and training platform

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platform

M4ACE LMS

Learning Management System for Mentorship for Acceleration

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platform

Premium EHR (SaaS)

Enterprise SaaS Electronic Health Record for mental health facilities

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platform

Multi-Cloud Terraform Infrastructure

Production-ready multi-cloud IaC for AWS, Azure, and GCP

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Impact outside work

M4ACE — Mentorship for Acceleration

Mentorship & career transition

I co-lead M4ACE to help people transition into tech through structured 6-month learning programs, cloud engineering tracks, real-world project mentorship, and career readiness training. We focus on clarity, accountability, and partnership outreach.

0+Mentees supported
0+Structured tracks

What I do

Skills

Cloud

  • AWS

    EC2, ECS/Fargate, S3, Redshift, Lambda, IAM, VPC. Production workloads and cost-aware design.

  • Multi-account and networking

    VPC design, subnets, security groups, cross-account patterns.

Infrastructure as Code

  • Terraform

    Modules, state, workspaces. Full stack from networking to application services.

  • CloudFormation

    Templates and nested stacks where Terraform is not in use.

Data Engineering

  • Apache Airflow

    DAG design, sensors, operators. Reliable orchestration for batch and incremental pipelines.

  • DBT

    Staging, intermediate, and mart layers. Testing and documentation.

  • Redshift and dimensional modeling

    Star and snowflake schemas, distribution keys, query performance.

  • Python & SQL

    Scripts, APIs, data tooling. Complex queries, CTEs, window functions.

Fullstack & Backend

  • Next.js & React

    App Router, server components, responsive UIs. Frontend that scales.

  • AWS serverless & APIs

    Lambda, API Gateway, DynamoDB, S3. Serverless backends and event-driven architecture.

DevOps

  • Docker

    Multi-stage builds, minimal images, runtime best practices.

  • CI/CD

    GitHub Actions, GitLab CI, AWS CodePipeline. Build, test, deploy automation.

How I think

Engineering philosophy

  • 1Design before deployment: map dependencies, failure modes, and scale before writing code or Terraform.
  • 2Automate everything possible: if it runs more than once, it belongs in a pipeline or a module.
  • 3Optimize for scale from day one: choose patterns and tools that grow with data and traffic.
  • 4Document clearly: so the next person (or future you) can move fast.
  • 5Build with security in mind: least privilege, encryption, audit trails from day one.
  • 6Teach what you learn: write and share so others can adopt the same practices.

Writing

Publications

Medium

Create Amazon ECS Using Terraform and Fargate

In this article, I walk through building a production-ready container infrastructure using Terraform, focusing on automation and reproducibility. Covers ECR, ECS, IAM roles, and full Infrastructure as Code.

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Contact

Work with me

I'm actively seeking opportunities where I can contribute to scalable cloud systems, build and optimize data platforms, and work in globally distributed teams — while continuing to mentor and build impact communities.

I bring not just technical skill — but initiative, ownership, and long-term thinking. Open to roles and collaborations in the US, UK, and EU.

Email meLinkedIn