Data Engineer
Current• Successfully onboarded over 10 teams within the Institutional Securities and Technology Department into the Data Federation Initiative, enabling real-time data access from multiple sources and empowering more informed business decision-making• Facilitated over 50 teams in adopting Data Virtualization to inform business decisions, optimizing query runtimes by 15% and accelerating business report generation by approximately 70%• Orchestrated the management of terabytes of Personal Identifiable Information (PII), devising and executing ETL processes for Big Data transfer that cut operational costs by approximately 10%, while also establishing robust data disaster recovery protocols• Engineered a Data Quality Python Engine leveraging JSON Schema Validation to guarantee over 90% data accuracy, significantly bolstering the integrity of business reporting• Developed and deployed robust automation scripts using Python and Perl to streamline the transfer and management of large-scale data sets, enhancing system efficiency and reliability