Financial Data Integration & Analytics
Financial data pipelines with Snowflake and Databricks
Contributed to financial data ingestion, transformation and enrichment across Snowflake, Databricks and dbt workflows. Worked with third-party financial datasets including FactSet M&A, entity matching and data preparation for valuation and Cost of Equity analytics, with attention to data quality and integration reliability.
- Role
- Backend & Data Engineer (Valutico via RedMath)
- System
- Python / SQL / Snowflake / Databricks / dbt / FactSet
- Focus
- Data engineering · Financial integrations · Entity matching · Analytics
Overview
Financial data engineering and integration work spanning Snowflake, Databricks, dbt and third-party datasets used by valuation services.
My contribution
Contributed to ingestion, transformation, enrichment and matching of financial datasets, including FactSet M&A integration and workflows supporting Cost of Equity analytics. Focused on data consistency and downstream usability.
Technology
Python, SQL, Snowflake, Databricks, dbt, FactSet