• Developed SQL-based dependency discovery queries that extracted referenced tables, dataset identifiers, and ownership metadata to generate structured migration-scope catalogs for Databricks onboarding • Designed structured data-validation workflows and depreciation checks that enforced production data safety and prevented loss of CRM and finance records during platform cutover • Developed internal data-preparation scripts and tooling to automate migration readiness checks and dataset staging for Databricks cutover • Partnered with engineering, finance, and operations stakeholders to define dataset ownership, retention, and depreciation policies improving long-term platform data hygiene

• Developed data cleaning, deduplication, and lifecycle-state automation logic, reducing manual recruiter workload and improving CRM query performance • Automated archival workflows and stale-data pruning jobs to improve platform latency and data integrity • Implemented tagging and schema standardization to enable scalable talent classification and searchability • Built Salesforce-based ETL pipelines to ingest, validate, and normalize multi-source candidate datasets used in fintech hiring automation

• Selected as 1 of 3 teaching assistants for Systems Programming in C to undergraduate students • Led programming concept review sessions, including memory management, pointers, and system calls • Assisted professor evaluating and grading programming assignments, and provided constructive feedback to students