brempong User

I am a Data and MLOps engineer specializing in cloud-native data platforms, ETL/ELT pipelines, and production-ready ML workflows. I bring hands-on experience with AWS, PySpark, SQL, Docker, Kubernetes, and MLflow to deliver reliable, automated solutions.

At Amalitech I contributed to scalable AWS data pipelines using Glue, Lambda, Step Functions, EMR, Kinesis, S3, RDS, DynamoDB, Athena, and Redshift, improving data reliability, security, monitoring, and CI/CD automation alongside senior engineers.

In MLOps and ML roles I have implemented end-to-end pipelines with MLflow experiment tracking, model registries, A/B testing, REST serving, and orchestration with Airflow; I deployed models on Kubernetes (Minikube/Kubeflow) and emphasized reproducibility and scalability.

I write technical articles and tutorials, maintain a portfolio of projects (including recommendation systems, RAG chatbots, and event-driven e-commerce pipelines), and am passionate about bridging data engineering and MLOps to accelerate data-driven decision-making.