Maintained and optimized a Django backend for an Anti-Money Laundering (AML) and Know Your Customer (KYC) platform, ensuring robust and reliable performance. Processed transaction data from various payment providers and banks, implementing algorithms to detect suspicious activities and potential fraud. Enhanced data processing capabilities to handle large volumes of transaction data efficiently, improving the platform’s responsiveness and accuracy. Collaborated with compliance teams to refine detection rules and thresholds, aligning with regulatory requirements and best practices.
Backend Services on Kubernetes in AWS
Managed and scaled backend services running on Kubernetes in AWS, ensuring high availability and efficient resource usage. Implemented strategies to optimize resource allocation and reduce costs, while maintaining performance and reliability. Monitored and maintained the Kubernetes clusters, addressing any issues proactively to minimize downtime and ensure smooth operations. Collaborated with DevOps teams to automate deployment processes and enhance the overall infrastructure management.
Data Pipelines and Workflows with Airflow
Supported the integration of data pipelines and workflows using Airflow, significantly improving the automation of data processing tasks. Designed and implemented Airflow DAGs (Directed Acyclic Graphs) to orchestrate complex data workflows, ensuring efficient and timely data processing. Collaborated with data engineering teams to optimize data pipelines, enhancing data quality and reducing processing time. Provided training and support to team members, fostering a collaborative environment and promoting best practices in data pipeline management.