Amanuel Taddesse

Led and architected an internal enterprise platform for a financial-management firm — analyst research workflows, portfolio management, ESG data, and client-facing quarterly commentary reporting. Owned technical direction end to end and built the system as its lead while working directly with the client. Owned system design from the ground up — data model, API contracts, and quarter/period business rules — that shaped how the rest of the team built on the platform. Directed the team by delegating implementation to other engineers and reviewing their code to keep shared financial-data logic consistent and correct. Architected a multi-tenant financial data pipeline distributing quarterly analyst commentary across dozens of portfolios and stock contexts. Wrote advanced SQL Server (window functions, correlated subqueries, STRING_AGG, dynamic pivots) to deduplicate and merge multi-portfolio views with correct tie-breaking. Root-caused a class of data-integrity bugs where quarter-over-quarter uploads silently bled data across reporting periods, via systematic SQL/transaction tracing. Acted as technical point of contact for the client — gathering requirements and bug reports, clarifying ambiguous business rules, and running incident response to root cause with evidence. Owned deployment and production troubleshooting on Windows Server (PM2, IIS, multi-environment configs).

Built generative-AI analyzers over business systems (HubSpot CRM, ClickUp, Float), with Airbyte -> BigQuery pipelines feeding an LLM that answers questions on leads, feedback, workload, and resource bottlenecks across 100+ projects and 200+ leads.