Data Engineer at Aspire Systems (2021-08 – 2024-12)
Data Engineer at Aspire Systems developing SQL and Python data workflows and ETL pipelines
- Developed SQL and Python data workflows that delivered 12 analytics-ready datasets for reporting and operations by implementing validation, transformation rules, and scheduled processing
- Built reusable Python utilities that reduced manual reconciliation effort by 9 hours per week by automating data transformation, quality checks, and exception handling
- Integrated data from 6 source systems to improve stakeholder reporting turnaround time by 30% by standardizing SQL extracts and publishing curated outputs in Excel and Power BI
- Documented 25 data requirements and transformation specifications to increase governance traceability by 40% by maintaining consistent definitions, issue patterns, and execution notes across teams
- Built 8 scalable ETL workflows that reduced manual data correction effort by 25% for reporting and operations by implementing SQL and Python transformation logic, validation rules, and automated error handling
