A selection of data engineering work across banking, finance and retail. Each project includes the problem, the approach and the results.
JPMorgan Chase · Data Owner · 2026
Migrating the bank's alert preferences application from a legacy platform to Alerts 2.0, including a new database and an entirely new data pipeline.
- Moved the application from a legacy database to CockroachDB
- Built a new pipeline from CockroachDB to the AWS S3 data lake and on to Snowflake
- Coordinated product, technology and data technology teams for a smooth cut-over
- Involved in every stage of testing
Personal project · 2026
A free chess web app: play eight bots powered by Stockfish, review your games, solve puzzles, learn openings and follow live tournaments, all running in the browser.
- Stockfish running in the browser as WebAssembly, with eight bots from ~400 to full strength
- Move-by-move game review with accuracy, an evaluation graph and blunder detection
- 10,000 puzzles and 3,865 openings built from the Lichess open databases
- FIDE top-100 lists refreshed monthly by an automated data pipeline
JPMorgan Chase · Data Scientist · 2025
Customer sub-segments for marketing and targeting, built with K-means clustering and supervised learning on secure, enriched datasets.
- Built the input datasets for clustering with PySpark on AWS EMR
- Created sub-segments using K-means, followed by supervised learning
- Enriched customer data with bureau and credit history via Redshift
- Worked on every step, from raw data to final segments
JPMorgan Chase · Senior Data Engineer · 2024
Migrated legacy Hive workflows to an automated PySpark and Airflow pipeline powering Tableau dashboards on digital customer activity.
- Cut processing time from 12 hours to under 2
- Replaced manual Hive workflows with PySpark on Hadoop
- Fully automated scheduling and orchestration with Airflow
- Fed Snowflake and Tableau for near real-time digital metrics
Tiger Analytics for Lands' End · Data Engineer · 2022
Sell-through scoring pipelines that set SKU-level promotional discounts for Lands' End's e-commerce platform.
- Calculated sell-through scores from inventory, demand and sales data
- Applied business rules to set SKU-level discounts
- Automated with AWS Glue triggers; served via RDS and Redis
- Improved inventory turnover with targeted promotions
Wells Fargo · Data Engineer · 2021
Consolidated mortgage data mart supporting FDIC regulatory reporting and fair value accounting.
- Integrated Parquet, mainframe and Teradata sources into one data mart
- Reported Qualified Financial Loans to the FDIC
- Batch workflows that consistently met a 4:45 AM EST deadline
- Built fair value accounting pipelines in Ab Initio