AKINTAYO Mujeeb
@akintayomujeeb1
Staff software engineer specializing in cloud-native distributed systems and data engineering.
What I'm looking for
I am a detail-oriented staff software engineer with deep experience building cloud-native, cell-based distributed systems and data platforms for large-scale consumer services. I have led architecture and implementation efforts across backend services, data pipelines, and infrastructure to improve reliability and scalability.
At DoorDash I designed cell-aware data pipelines with Spark, Kafka, Airflow and Snowflake that improved data freshness by 70%, built multi-tenant order state machines in Go and Node.js to reduce cross-cell latency by over 40%, and drove CI/CD, Terraform, and AWS-based infrastructure to enable autonomous regional deployments. I also developed internal microfrontend tools with React and TypeScript to reduce operational burden during outages.
Previously at Databricks I optimized ETL at massive scale using Scala and Spark, contributed to multi-cloud provisioning automation with Terraform and Ansible, migrated CI to Bazel and Docker, and built platform services for telemetry and diagnostics. I mentor engineers, document architectures, and focus on observable, safe production systems.
Experience
Work history, roles, and key accomplishments
Served as solutions architect and tech lead for cell-based platform initiatives, delivering a cell-aware data pipeline that improved data freshness by 70% and reduced cross-cell latency by over 40% through Go/Node.js services and Kafka orchestration.
Built and optimized large-scale data infrastructure and developer platform, implementing Spark/Scala ETL for billions of records and reducing environment setup time from days to under an hour via automation.
Education
Degrees, certifications, and relevant coursework
University of Sunderland
Bachelor's Degree, Computer Science
2009 - 2014
Completed a Bachelor's degree in Computer Science with coursework covering software engineering, data structures, and systems programming.
Tech stack
Software and tools used professionally
Google Tag Manager
Postman
OpenAPI
AWS CLI
Apache Spark
D3.js
Google Cloud Platform
GitHub
GitLab
Bitbucket
ESLint
SonarQube
Kubernetes
Jenkins
GitHub Actions
GitLab CI
MySQL
PostgreSQL
MongoDB
Memcached
Cassandra
Gmail
Node.js
Django
Laravel
Spring Boot
Ruby on Rails
Next.js
Yarn
Tailwind CSS
Material-UI
Google Analytics
Databricks
Figma
Redis
Terraform
AWS CloudFormation
IntelliJ IDEA
Jira
Bazel
Gradle
Mocha
React Query
Webpack
JavaScript
Java
PHP
Neptune
Google Maps
Kafka
FastAPI
Grafana
Prometheus
Linux
macOS
Windows
Datadog
Apollo
GraphQL
gRPC
Elasticsearch
Solr
Ansible
AWS Lambda
Serverless
pytest
JUnit
React Testing Library
WebRTC
Formik
NGINX
Airflow
dockerized
Root Cause
SQL
npm
Delta Lake
Vite
Availability
Location
Authorized to work in
Job categories
Skills
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