Data Engineer
Current• Designed and implemented efficient data pipelines using Python, SQL, and various ETL tools.• Managed and optimized databases including MySQL, PostgreSQL, and MongoDB for high availability and performance.• Developed and maintained CI/CD pipelines using Jenkins and Terraform, ensuring smooth and reliable deployments.• Collaborated with data scientists to build and deploy machine learning models in production.• Created data visualizations and dashboards using Tableau to provide actionable insights for stakeholders.• Leveraged AWS services (S3, EC2) for scalable data storage and processing solutions.• Utilized Docker for containerization to improve development and deployment workflows.• Utilized Python libraries such as Pandas, NumPy, SciPy, and Scikit-learn for scientific computing and data analysis.• Spearheaded the capacity-building initiative for a bank venturing into Big Data, leveraging open-source MongoDB and cloud technologies.• Implemented Git for version control, facilitating code management and collaboration across software versions.
