Suresh Talluri

Designed a trade reconciliation service using Python, FastAPI, and PostgreSQL to enforce settlement validation rules, processing 4M+ transactions weekly across 5 internal platforms with an average response time of 3 seconds. Constructed event-driven ingestion pipelines with Apache Kafka, consolidating 14 treasury data streams and automating 7 validation controls, reducing monthly reporting preparation by 3 business days. Delivered a portfolio analytics interface using React and TypeScript for 600+ institutional users across 9 asset categories with data retrieval latency under 2 seconds for high-volume queries. Deployed containerized services via Docker on AWS, coordinating 12 production deployments across 4 environments and reducing rollback events during quarterly platform updates. Refactored legacy REST endpoints with structured input validation and centralized exception handling, improving data consistency across 3 fund administration workflows. Aligned engineering deliverables with

Developed campaign management services exposing REST APIs processing 620K+ customer events weekly across 5 advertising data sources, enabling daily audience segmentation and activation workflows. Implemented serverless campaign processing using Azure Functions, scheduling 12 jobs per day and reducing batch turnaround time from 3 hours to 55 minutes during peak campaigns. Integrated Redis caching, reducing repetitive profile queries by 100K+ requests per day and supporting consistent audience targeting across 18 active marketing campaigns. Engineered campaign performance dashboards using modern JavaScript frameworks, delivering 8 reporting modules used by 20+ analysts for weekly attribution and engagement analysis. Automated CI validation with GitHub Actions, running 30+ pipelines per month and supporting structured code merges across a 5-member team handling 45+ monthly change requests. Directed sprint planning with product and data teams, defining API specifications for data workflows

Architected backend services using Node.js and Express.js, delivering API-driven modules that handled 480K+ user transactions per month across 4 enterprise applications, supporting real-time operational workflows. Modeled relational schemas in MySQL with 35+ tables, reducing reporting query runtime from 2 seconds to under 1 second across 12 high-volume endpoints. Orchestrated ETL pipelines with Apache Airflow on Azure Cloud, scheduling 18+ workflows that processed 300K+ records per day into analytics databases, reducing manual data preparation time during reporting periods. Secured multi-tenant platforms using JWT-based authentication and RBAC to support 8K+ users across 3 deployments with enforced access controls and audit trails. Crafted interactive web interfaces using JavaScript (ES6), developing 14 screens with dynamic form handling and client-side validation, supporting 150+ business users in daily monitoring and reporting tasks.