Tech Stack: Java, Spring, PostgreSQL, Elasticsearch, MongoDB, Kafka, Kafka Streams, Kubernetes, GCP2023 to present: Principal Engineer of Data Sharing, a 3 team initiative to enable project44’s 200k+ shippers and carriers to share and collaborate with each other on shipment and inventory data.• Designed and built a generic platform rules engine that allows users to configure flexible rules on their data and execute custom actions. Rule matching supports hundreds of different fields with full-text search across multiple different domain entities such as shipments and assets.• This rules engine is able to efficiently process 1.3k+ updates per second across 100k+ rules and 200k+ tenants including processing data retroactively. 2021 to 2023: Principal Engineer of the Master Entities team building master data services that consolidate services acquired during mergers and acquisitions into single sources of truth.• Consolidated 4 different conflicting systems into 1 single source of truth backed by a global database that is able to serve the same data across all of our regional data centers.Leader of the Technology Leadership Council, an 8 person group of the most senior engineers at the company whose purpose is to drive company-wide progress on improving the architecture and technical processes of the engineering organization with sponsorship of the CTO.

Tech Stack: Scala, Play, Cats, Redis, PostgreSQL, Kubernetes, Jenkins, Datadog, Splunk• Engineering Manager of the Benefits team, which provides benefits data to 50 million covered individuals on myuhc.com, the website of the largest health insurance company in the world.• Part of Find and Price Care, which gives users highly personalized and accurate cost estimates based on their individual benefits for their specific provider and procedure.

• Tech lead of the Benefits team, which owns a service which abstracts away many underlying data sources of benefits information with a common data model.

Tech Stack: Scala, Flink, Kafka, Kafka Streams, Spark, Cassandra, Kubernetes, S3, Kafka Connect, PostgreSQL, InfluxDB, TimescaleDB, Jenkins, Elasticsearch, Java, Spring• Tech lead of timeseries data engineering on the Uptake Platform.• Successfully rolled out next generation of massive streaming aggregation pipeline processing 130k records per second of live timeseries data while also being able to process 1+ trillion records of historical timeseries data (250+ TB) from our 39 node Cassandra cluster via our 30 node Kafka cluster.

• Tech lead of data engineering for real-time predictive maintenance of wind turbines.

• Tech lead of real-time vehicle telematics data ingestion into the Uptake platform via Kafka Streams.

Tech Stack: Java, Scala, distributed caching, Splunk, Jenkins• Backend development of RESTful web services leveraging distributed caching.

Tech Stack: Java, Spring, Elasticsearch, PostgreSQL, Jenkins• Backend development of RESTful web services.

Tech Stack: Scala, Akka, Python, EC2• Created backend for a web app that aggregates data of open source projects.

Tech Stack: Scala, Akka, Play• Backend development of distributed systems.

Tech Stack: Java• Built an app which takes XML files and generates CLI commands.