At Endava, I contributed to proof-of-concept data solutions and delivered a marine insurance analytics application spanning data pipelines, semantic models, dashboards, and a Streamlit application.
For the marine insurance platform, I designed an incremental ETL pipeline that landed source data in Amazon S3 and processed it in Snowflake through Bronze, Silver, and Gold layers. I also built analytics-ready semantic views and models to support consistent KPI definitions and downstream analysis.
I built dashboards and a Streamlit application for exploring trends, loss reasons, anomalies, and potential causes of failures. The application also presented pipeline health and diagnosis information to help users investigate data issues and operational failures.
My proof-of-concept work included metadata discovery and lineage across Snowflake, Databricks, and SQL Server, as well as Python-based self-service analytics prototypes. I placed among the top 5 teams out of 62 in Endava’s InSync Hackathon for TalentBridge.
