EMMANUEL OFFISONG

As a highly skilled Cloud Data Engineer and DevOps Engineer, I specialize in designing, implementing, and managing robust data solutions while optimizing and automating deployment pipelines for seamless software delivery. My expertise encompasses cloud platforms such as AWS and Azure, as well as data warehousing, infrastructure management, site reliability engineering, ETL processes, and containerization. I am dedicated to delivering scalable and secure solutions, providing value for any organization I find myself in.

• Over the years, I have written technical articles for companies like Airbyte, Redpanda, Paperspace, Estuary Flow, Decodable, amongst others. You can check out my articles using this link https://github.com/Techtacles/Technical-Articles

• Built and managed the end-to-end infrastructure of a book recommendation machine learning project using Terraform, Github Actions, Docker, AWS Lambda, AWS ECR, AWS ECS.
• Deployed a containerized deep learning framework for a music playlist generator machine learning model using Terraform, Github Actions, AWS ECR, AWS EKS. https://github.com/Techtacles/Playlist_Generator/tree/aws-cloud
• Build and deployed an end to end data pipeline using Terraform, Github Actions, Airflow, Docker, Kubernetes and AWS resources. https://github.com/Techtacles/kubernetes-de-project
• Built a data pipeline consisting of a batch layer and a streaming layer that processes information and sends notification using Apache Kafka, Apache Spark, AWS S3, Lamda, Glue, SNS. https://github.com/Techtacles/batch-streaming-data-pipeline
• Built an end-to-end deep learning framework to detect early signs of breast cancer using MRI images with about 80% accuracy using Jenkins, Vector database, Python and AWS.

AWS Solutions Architect Associate