Enterprise Data Platforms • Financial Systems • AI Governance
Hello! I’m Alan Palayil👋
Application Development Analyst at Genworth Financial,
engineering investment accounting data pipelines where correctness and reliability aren’t optional.
PhD researcher in AI Governance and Data Science.
Lead engineering for investment accounting systems, owning 10+ production pipelines and 30+ automated jobs across PAM Accounting, Markit EDM, AppWorx, and Azure Synapse, serving 5 cross-functional business teams.
Owns CML engineering within PAM, managing technical roadmaps and production stability for 1,500+ active commercial mortgage loans.
Led Derivatives processing migration to Azure Synapse; Fixed Income and CML platforms on track for migration by end of 2026.
Engineers and maintains 10+ production pipelines and 30+ automated jobs, eliminating 2+ hours of weekly manual effort from accounting operations.
Drives measurable reliability improvements across production systems, with fewer known failures, fewer error tickets, and improved data representation.
Partners with 5 cross-functional teams (BA, PAM Ops, DGM, AppWorx Support, Alternative Assets) to align engineering with financial reporting requirements.
Built Python and SQL automation for investment accounting workflows across Fixed Income, Derivatives, and CML, replacing manual processes with production-grade pipelines and interfaces.
Automated financial reporting and data extraction pipelines in Python and SQL, reducing manual workloads and data entry errors across accounting workflows.
Maintained Investments Trading & Accounting platforms (PAM Accounting, Markit EDM, and AppWorx), ensuring system uptime and performance.
Resolved application and data failures through root cause analysis, developing permanent fixes to eliminate recurring production issues.
Developed system interfaces with Accounting and Operations teams to ensure reliable data flow across Fixed Income, Derivatives, and CML.
Supported core accounting workflows across multiple asset classes, providing technical assistance and troubleshooting for daily production tasks.
Engineered custom TCP/IP protocols and IoT control systems to replace restricted third-party platforms, and built real-time data pipelines with web-based monitoring interfaces.
Developed custom TCP communication layers without external automation software, increasing system control and reducing platform dependency.
Built an IoT street lamp prototype using C# and MQTT to enable low-latency communication between hardware and the cloud.
Created a web-based dashboard using HTML, CSS, and JavaScript for direct real-time monitoring of backend system data.
Collaborated with senior engineers to design, test, and document system requirements and user guidelines.
Integrated frontend interfaces directly with backend communication services to ensure immediate data synchronization.
I build data infrastructure for financial systems and research AI governance at the doctoral level.
If you're working on similar problems, I'd enjoy the conversation.
