Development in Python. Concept and creation of a processing pipeline for various financial instruments (derivatives, swaps), definition and implementation of interfaces for users, external systems, and ML tools (REST, quantitative finance). Scaling, load balancing, fault tolerance. Multi-stage processing, validation, enrichment, routing of various business cases, ETL. Load distribution via microservices. Messaging, Kafka, MSSQL, Python, Flask, Docker Swarm. Setup of CI/CD pipelines in Azure DevOps, automation: integration tests, change log, versioning, etc. Tickets in Jira, documentation in Confluence. SCRUM.