π Nigeria | π§ [email protected] | π± +234 806 859 0823
π LinkedIn | GitHub | Twitter | Medium Blog
Versatile and impact-driven Data Engineer, with solid experience as a DevOps and MLOps Engineer. I design, build, and optimize data infrastructure and pipelines that power analytics, applications, and AI systems in production. With 5+ years of hands-on experience, I specialize in delivering reliable, secure, and automated data and deployment workflows across AWS, Azure, and hybrid environments.
My work lies at the intersection of data infrastructure, pipeline automation, and cloud-native engineering, ensuring that data is accessible, trustworthy, and actionableβat scale.
- π οΈ Data Engineering: Data pipelines, ETL/ELT workflows, PostgreSQL, Redis, Pandas, Numpy
- πΎ Databases: SQL (Advanced Joins, Window Functions), PostgreSQL, Redis, MySQL
- π§ͺ Data Pipeline Automation: GitHub Actions, Python ETL scripts, Apache Airflow (learning)
- βοΈ Cloud Platforms: AWS (EC2, S3, CloudWatch), Azure (VMs, Storage, App Services)
- βοΈ DevOps & Automation: GitHub Actions, Azure DevOps, Jenkins, Bash, Terraform, ARM Templates
- π§ MLOps: Model deployment pipelines, automated testing (pytest), monitoring (CloudWatch)
- π³ Containers: Docker, Kubernetes
- π Monitoring & Logging: CloudWatch, Azure Monitor
- π Documentation: Onboarding guides, CI/CD playbooks, pipeline architecture
π Sept 2023 β Present
- Built scalable data pipelines using Redis, Python, and GitHub Actions for recommendation engines and chatbot usage data.
- Designed automated CI/CD pipelines for ML and backend services using Docker and GitHub Actions.
- Maintained infrastructure logs and monitoring with CloudWatch and in-house observability dashboards.
- Led development of internal documentation for CI/CD, pipeline architecture, and team onboarding.
π Sept 2020 β Aug 2023
- Engineered automated data workflows to ingest, clean, and store LMS content on Azure Blob Storage.
- Developed PostgreSQL-based data schemas and ensured daily backup/recovery pipelines.
- Managed scalable Azure infrastructure for applications, supporting CI/CD and IaC with ARM Templates.
- Built secure and monitored environments using Azure Monitor and audit logging.
- 𧡠KCNA: Kubernetes and Cloud Native Associate (2025)
- π Microsoft Certified: Azure Developer Associate (2023)
- βοΈ AWS Certified Cloud Practitioner (2022)
- π Certified Python Backend Engineer β ALX Africa (2023)
- π Google Project Management Professional (2021)
- π οΈ Google IT Support Professional (2021)
- βοΈ Certified Quality Director (2021) β ACI
- 𧬠Certified Six Sigma Black Belt
- π§ͺ Data Analyst with SQL (30+ hrs)
Joins, Subqueries, Window Functions, Aggregation, Query Optimization - π Data Engineer with Python (60+ hrs)
ETL Pipelines, Data Wrangling, PostgreSQL, Pandas, Python Optimization
| Project | Description |
|---|---|
| π§ Tublian Data Pipelines | Redis-based data extraction, transformation, and loading with automated CI pipelines |
| π TETFUND LMS Infrastructure | Designed Azure-backed data systems for learning content, supporting clean data ingestion |
| π ETL Monitoring Dashboard | Developed CI/CD + logging system to track pipeline jobs and data transformation failures |
π Jan 2024 β Present
- Mentored 1450+ women engineers in DevOps and data infrastructure tooling.
- Led workshops and AMA sessions on CI/CD and automation workflows.
π Mar 2022 β Present
- Introduced Python-Excel automation for chapter finances.
- Digitized and structured chapter operations through standardized policy and planning documents.
π¬ Ask me about data engineering, DevOps, CI/CD, or how to balance engineering with leadership and community work.
βReliable data and infrastructure is the foundation for every great productβand I build both with clarity, care, and code.β