Data Engineer, Analytics
Current1. Contributed to a 20% ongoing business expansion by architecting dashboards that visually present data from over 40 million health records, advising doctors on strategies to maximize their incentives within a value-based healthcare system. 2. Led a team of analysts and QA professionals, understanding business logic, and facilitating communication across multiple geographies to consistently deliver products on time. 3. Saved approximately $60,000 per month in Azure storage costs by migrating the relational database model to a columnar storage format (Apache Parquet), optimizing the storage of nearly 50 million rows in reporting tables. 4. Reduced human efforts by 30% by orchestrating an outdated workflow to new data-pipeline in Apache Airflow, starting with data retrieval from text file sources and ending with transfer to columnar storage file format. 5. Cut server processing time by 50%, freeing up space, and minimized human error by 80% by automating the Tableau dashboards publishing part containing over 40M rows of data. 6. Improved product delivery efficiency by 30% by devising Python-based codebase to generate customizable Data quality reports in MS Excel, to meet requirements for multiple clients of different line of business in healthcare.
