Data Engineer & Infrastructure Specialist with a strong Software Engineering foundation.
Building resilient ETL/ELT pipelines, optimizing enterprise databases, and automating scalable system infrastructure.
I am a Data Engineer & Infrastructure Specialist leveraging a solid Full-Stack Software Engineering background. Having built, deployed, and maintained production application systems, I bring a holistic understanding of how application code interacts with database engines, message queues, and cloud infrastructure.
- 🔭 Current Focus: Engineering fault-tolerant ETL/ELT pipelines, dimensional modeling (Star/Snowflake Schemas), and query performance tuning.
- 🛠️ Software Engineering Foundation: Production experience across full-stack web platforms, REST microservices, and mobile architectures using C# / .NET, Java / Spring Boot, Python, Go, and Node.js / Next.js.
- 🌱 Learning Path: Expanding into Apache Airflow, PySpark, Data Lakehouses, and cloud-native warehousing (Snowflake / BigQuery).
- ⚡ Core Strengths: SQL Server Integration Services (SSIS), T-SQL optimization, Dockerized data environments, and automated CI/CD deployment pipelines.
- 📫 Reach Me: Email | LinkedIn | Portfolio
- ⚡ Fun Fact: When I'm not tuning indexes or writing data pipelines, I am deep into Sim-Racing or analyzing Aviation & Flight Mechanics!
| Data Engineering & ETL |
|
| Databases & Storage |
|
| Software Development |
|
| DevOps & Infrastructure |
|
🔍 View: Enterprise Financial ETL Pipeline Architecture
[ Frontend React/Next.js ] ──► [ REST API (Spring Boot / Express) ] │ ▼ (Containerized via Docker) [ SQL / NoSQL Store ]
- DevOps Pipeline: Containerized microservices deployed via GitLab CI / Jenkins pipelines.
- Database Access: High-performance ORMs and raw parameterized T-SQL for low-latency queries.
🔍 View: Containerized Infrastructure Setup
- Environment: Hyper-V / Linux Virtualization
- Services: Docker Compose running isolated database engines, reverse proxies (Nginx), and CI/CD Runners.
Designed & Engineered by Leslie Shumba