• Spearheaded the development of Chime’s Member-360 Full Funnel Data Foundation on Snowflake, enhancing data normalization.

• Implemented CDC-driven pipelines that reduced compute costs by approximately 35% and improved insight latency to near-real-time.

• Created a dynamic funnel dashboard utilized by Growth, Marketing, and Product teams to optimize spend and identify drop-offs.

• FinPlat Transaction-Alert Golden Cut-over – migrated Snowflake EDW alert datasets from Galileo to native FinPlat events, validated via shadow checks, and cleared the path for FCM/BIN migrations.

• Developed and maintained highly scalable ETL pipelines using Databricks and dbt, ensuring data integrity and seamless integration across multiple data sources.

• Designed and optimized data workflows, reducing processing times by 30% through the use of Apache Spark and Databricks, resulting in improved data pipeline efficiency.

• Orchestrated complex workflows using Apache Airflow to automate daily pipeline operations, increasing system reliability by 25% and minimizing system downtime.

Key aspects of the pipelines:

• Utilized dbt macros to standardize transformations and ensure code reusability.

• Implemented Liquid Clustering to optimize data query performance, particularly in large datasets.

• Applied Partitioning strategies to enable faster data retrieval and processing, improving overall pipeline efficiency.

Leveraged Delta Lake for handling data versioning and ensuring data consistency in a scalable manner.

• Implemented robust data quality checks using SODA for real-time validation, resulting in a 30% reduction in data discrepancies.

• Led end-to-end data transformation workflows with dbt, achieving a 20% improvement in analytics process efficiency.

• Extracted insights from marketing data to optimize customer application experience, contributing to a 4% increase in application rate.

• Led the development and maintenance of data warehouses on Dremio and Databricks, improving data accessibility and efficiency.

• Implemented ELT processes and conducted data analysis using SQL and Python.

• Worked on cloud computing services (AWS) to develop scalable and efficient data solutions.

• Collaborated with cross-functional teams to implement BI tools for data visualization and reporting.

• Implemented and maintained CI/CD practices using GitHub.