Data Engineer
Current★★ 1) Project: Avient's InstaColr/ColorNow Project ★★👉 Role: Data Engineer👉 Responsibilities:☛ Comprehending business requirements and translating them into technical solutions by liaising with global business teams☛ Owning and delivering the whole ETL pipeline for Avient's InstaColr/ColorNow project, resulting in a 40% increase in performance while meeting the demands of the backend engineer and ML☛ Developing thorough unit tests with a focus on code reliability to ensure data and ETL code integrity☛ 15% increase in user engagement as a result of the optimized Python scripts that were designed to extract and process data at scale from a variety of sources☛ Utilizing Apache Airflow to implement automated scheduling of the ETL process and results simulations, achieving a 20% improvement in price suggestion accuracy☛ Designing and enhancing Python microservices with a 5x increase in performance by utilizing the Numba library★★ 2) Project: Avient's Smart Factory Project ★★👉 Role: Data Engineer👉 Responsibilities:☛ Orchestrated the successful migration of high-throughput streaming IoT data from on-premises Postgres to cloud Postgres for the data analyst team☛ Built REST APIs with RabbitMQ and Node-RED for smooth data transfer, giving data analysts effective access to data☛ Performed a real-time monitoring analysis of the extruder's critical operational data, which resulted in a 9% improvement in process efficiency and a decrease in downtime★★ 3) Project: Confidential ★★👉 Role: DevOps👉 Responsibilities:☛ Migrated 14 microservices (Python, JavaScript, and .Net) from Cloud Foundry applications to a Kubernetes cluster, fostering a cutting-edge and scalable infrastructure☛ Reduced resource utilization & deployment time by 20% by optimizing Docker image size for supported languages, like .Net☛ Developed a CI/CD pipeline to automate the deployment of several microservices into the Kubernetes cluster, therefore streamlining the development process