Develop 2nd generation of Event Based Processing platform

Develop, and maintain Chime's Finance Metric Store using PySpark and AWS Glue, enabling data-driven decision-making and strategic planning.

1. Designed, developed, and maintained PySpark-based ETL pipelines and data platforms for Credit Card Interchange data using AWS Cloud Suite.

2. Architected and implemented a next-generation streaming data pipeline and infrastructure for Interchange data, leveraging AWS, PySpark, Python, and PostgreSQL.

3. Led the migration of existing Interchange data pipelines from managed services to a serverless architecture, enhancing scalability and cost efficiency.

4. Mentored and guided junior team members, fostering technical growth and best practices in data engineering.

1. Led the development and maintenance of a data platform and end-to-end data pipelines for risk modeling and scoring in Moody’s new-generation product, EDF-X, utilizing PySpark, Redshift, and S3.

2. Built a scalable data platform to empower data scientists in modeling and seamless model deployment.

3. Spearheaded the development of an analytical database, tooling, and dashboards for the EDF-X platform, integrating CRM (Salesforce), Heap, and other client engagement data to drive data-driven business decisions (Python, PostgreSQL, Airflow).

4. Led the engineering and maintenance of end-to-end data pipelines and data models for CreditEdge EDF (Expected Default Frequency) model scoring and web-based products, leveraging CloverDX and PostgreSQL.

1. Developed and maintained data platform and model scoring pipeline for CreditEdge risk management platform (PostgreSQL, CloverDX)

2. Developed internal tooling for business analytics and monitoring, which enabled data driven decisions and optimized operation efficiency. (Python, PostgreSQL, CloverDX)

3. Conduct data analysis and researches on EDF model and derived models for internal and external clients