Migrating the existing Airflow based ingestion processes to Databricks using PySpark, employing batch jobs for attribution data and Spark structured streaming for raw claims data

Collaborated with internal stakeholders and SMEs to integrate a new ACO REACH (Accountable Care Organization Realizing Equity, Access, and Community Health) attribution data ingestion pipeline into an existing MSSP (Medicare Shared Savings Program) pipeline, ensuring the data was captured and interpreted correctly and in alignment with their specific requirements and objectives

Created a FHIR-inspired (Fast Healthcare Interoperability Resources) intermediate data format to standardize raw data from any payor. Implemented solution as dataclasses with format conversion and validation (Python, PostgreSQL).

Utilized collaborative visualization software (Miro) for system design and planning, project management, visualizing process challenges, and gathering feedback

Recommended a more comprehensive QA process to increase scrutiny on deployed work and foster a culture of continuous learning

Migrating the local and offshore customer service teams (100+ agents) from an internal CRM tool to Salesforce to enable 24/7 customer support and improved case management

Spearheading the development of an API to allow Salesforce to write to core systems and fetch data on-demand (FastAPI).

Developing and maintaining ETL pipelines (Apache Airflow) for continuous data integration between core systems and external Salesforce services

Aligning engineering goals and business requirements through collaboration with product management teams to plan quarterly objectives and timelines

Guiding, mentoring, and tasking contractors and junior team members

Supporting development of a data virtualization service to deliver larger volumes of rapidly growing data to Salesforce for display (Typescript)

Improving Gitlab CI pipelines to automatically run unit tests and containerize services for rapid and stable deployments

Developed user-friendly and secure online banking application with a multidisciplinary team following an agile methodology

Utilized a proprietary Python web framework and SDK to securely and quickly retrieve data from multiple databases and APIs as well as to incorporate microservices

Created visually appealing and responsive frontend in JavaScript (JQuery, bootstrap)

Built REST APIs to integrate an external financial rewards engine

Designed and implemented stored procedures using MS SQL Server

Continuously delivered an evolving product to the client as their needs and schedules changed with 1-2 deployments monthly

Collaborated with 1-3 other developers using BitBucket as the code repository, git for versioning, and Confluence for documentation.

Visualized lithium content in Texas’s brackish water wells using Python (pandas, numpy) and a government dataset

Analyzed water desalination process data and calculated key measurement ranges using error

Created biomimetic metal organic frameworks (MOFs) in a polymer matrix with the goal of selectively removing lithium ions or fluoride ions from water. This technology could be used to harvest lithium from produced water (hydraulic fracturing) or remove excess fluoride from drinking water.

Studied commercial reverse osmosis (RO) membranes to analyze their effectiveness at desalinating salt water samples representative of those found in nature or industry (i.e. multicomponent salt solutions)

Modeled the above reverse osmosis operation using an updated Merten and Lonsdale model of salt and water transport

Synthesized epoxides using anionic and catalytic methods

Assessed materials and solutions using analytical instruments such as XRD, NMR, SEM, IC, flame AA, FTIR, impedance spectroscopy, SAXS, & GPC