🌍 Nigeria | 📧 [email protected] | 📱 +234 806 859 0823
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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 actionable—at scale.
- 🛠️ Data Engineering: Data pipelines, ETL/ELT workflows, PostgreSQL, Redis, Pandas, Numpy
- 💾 Databases: SQL (Advanced Joins, Window Functions), PostgreSQL, Redis, MySQL
- 🧪 Data Pipeline Automation: GitHub Actions, Python ETL scripts, Apache Airflow (learning)
- ☁️ Cloud Platforms: AWS (EC2, S3, CloudWatch), Azure (VMs, Storage, App Services)
- ⚙️ DevOps & Automation: GitHub Actions, Azure DevOps, Jenkins, Bash, Terraform, ARM Templates
- 🧠 MLOps: Model deployment pipelines, automated testing (pytest), monitoring (CloudWatch)
- 🐳 Containers: Docker, Kubernetes
- 📈 Monitoring & Logging: CloudWatch, Azure Monitor
- 📓 Documentation: Onboarding guides, CI/CD playbooks, pipeline architecture
📅 Sept 2023 – 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.
📅 Sept 2020 – 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.
- 🧵 KCNA: Kubernetes and Cloud Native Associate (2025)
- 📜 Microsoft Certified: Azure Developer Associate (2023)
- ☁️ AWS Certified Cloud Practitioner (2022)
- 🐍 Certified Python Backend Engineer – ALX Africa (2023)
- 📊 Google Project Management Professional (2021)
- 🛠️ Google IT Support Professional (2021)
- ⚙️ Certified Quality Director (2021) – ACI
- 🧬 Certified Six Sigma Black Belt
- 🧪 Data Analyst with SQL (30+ hrs)
Joins, Subqueries, Window Functions, Aggregation, Query Optimization - 🐍 Data Engineer with Python (60+ hrs)
ETL Pipelines, Data Wrangling, PostgreSQL, Pandas, Python Optimization
| Project | Description |
|---|---|
| 🧠 Tublian Data Pipelines | Redis-based data extraction, transformation, and loading with automated CI pipelines |
| 🎓 TETFUND LMS Infrastructure | Designed Azure-backed data systems for learning content, supporting clean data ingestion |
| 📊 ETL Monitoring Dashboard | Developed CI/CD + logging system to track pipeline jobs and data transformation failures |
📆 Jan 2024 – Present
- Mentored 1450+ women engineers in DevOps and data infrastructure tooling.
- Led workshops and AMA sessions on CI/CD and automation workflows.
📆 Mar 2022 – Present
- Introduced Python-Excel automation for chapter finances.
- Digitized and structured chapter operations through standardized policy and planning documents.
💬 Ask me about data engineering, DevOps, CI/CD, or how to balance engineering with leadership and community work.
“Reliable data and infrastructure is the foundation for every great product—and I build both with clarity, care, and code.”