Reed S

Senior Technology Associate

Apr 2023 - Present • 3 yrs 4 mos

● Promoted to lead technical delivery across data governance, data quality, master data management, and analytics initiatives for complex financial services clients managing over $150Bn in AUM. ● Implemented an end-to-end data governance framework spanning issue identification through remediation by designing data quality rules, monitoring logic, and issue workflows to identify exceptions across millions of customer and transaction records. ● Contributed to solution design for a bespoke master data management platform, focusing on data model design, entity mastering concepts, and ingestion of millions of records spanning the Finance, Customer, and Product domains. ● Designed custom metadata management and classification capabilities, including dynamic PCI and PII identification across client metadata catalogs using Snowflake, Java, and Python. ● Led data science upskilling initiatives for consultants and supported key technology infrastructure, access management, and client-facing technical problem solving. ● Designed and implemented an end-to-end machine learning pipeline to identify orphan records across systems and apply entity resolution procedures alongside scalable grouping algorithms using Dagster, dbt, and Python. ● Engineered and built a modular, rule-based data quality engine utilizing SQL and Python to consistently assess millions of data points related to customer and transaction data. ● Developed SQL data models to support machine learning analytics, creating training and testing datasets using Python libraries (scikit-learn, TensorFlow), and integrated results into SQL tables for visualization via Tableau and Python (matplotlib, seaborn). ● Developed bespoke analytics tools for transaction and commission rate analysis, enhancing advisor performance tracking and driving profitability and operational efficiency across the firm.

Data Management Consultant

Aug 2022 - Mar 2023 • 7 mos

● Utilized Python, SQL, and Power BI to collect, analyze, and visualize industry insights, driving data-driven recommendations for new data product proposals. ● Implemented Tableau to enable a federal organization to monitor the health and performance of their data catalog in real time, improving efficiency across downstream consumers and providing visibility to data governance stakeholders. ● Leveraged Collibra tooling to assess data quality and map data lineage, contributing to the creation and implementation of robust data governance policies for external data sources.