Skip to main content
LL
Open to opportunities

Lucas Leon

@lucasleon1

I build real-time, governed data platforms powering pricing, forecasting, and financial operations at scale.

United States
Message

At Flexport, I build governed Snowflake and dbt data products that power supply-chain pricing, finance, forecasting, and operational visibility. I've consolidated data from 80+ ERP and TMS integrations, increased active data users 5.5x, and helped shorten month-end close by two days.

Previously at Uber, I architected real-time marketplace and financial data pipelines across Spark, Kafka, Pinot, Flink, Hive, and Presto at million-events-per-second scale. My work supported pricing, dispatch, forecasting, reconciliation, Uber Eats Ads, and auditable financial transactions across billions of trips.

At Target, I automated Hadoop infrastructure provisioning, built low-latency streaming ingestion, and delivered analytics and feature pipelines for inventory, relevance, and forecasting. I also establish data contracts, observability, and engineering standards while mentoring engineers to own their domains.

Experience

Work history, roles, and key accomplishments

Flexport logoFL
Current

Senior Data Engineer

Mar 2022 - Present (4 years 5 months)

Designed domain-bounded producer and consumer marts in Snowflake and dbt, orchestrated with Airflow, to grow active data users 5.5x and help Finance shorten month-end close by 2 days. Consolidated purchase-order, booking, shipment, milestone, customs, and invoice data from 80+ ERP/TMS integrations into a single supply-chain model using Kafka, Fivetran, dbt, and Snowflake, serving 15+ downstream te

Uber logoUB

Data Engineer

Jan 2019 - Mar 2022 (3 years 2 months)

Architected real-time marketplace-intelligence pipelines on Pinot, Presto, Spark, and Kafka spanning 30+ data flows and 20+ clusters over 1,500+ TB, powering pricing, dispatch, and forecasting across 4.5T+ records at 1M+ events/sec. Scaled Gairos (Pinot) serving capacity ~4x through query-driven sharding and routing, then 10x further with intelligent caching that held hit rates above 80%, stabiliz

Target logoTA

Data Engineer

Jul 2016 - Jan 2019 (2 years 6 months)

Automated bare-metal Hadoop provisioning using OpenStack Ironic/Nova, Chef, and Ambari APIs, shrinking DataNode build times from months to ~2 hours and enabling parallel expansion by hundreds of servers within weeks on a multi-PB platform. Engineered rolling maintenance across a mixed Hive, Tez, MapReduce, Spark, Pig, HBase, and Storm estate serving hundreds of users and thousands of jobs, cutting

Education

Degrees, certifications, and relevant coursework

University of Florida logoUF

University of Florida

Bachelor of Science, Computer Science

2012 - 2016

Bachelor of Science in Computer Science from the University of Florida, completed in 2016.

Get matched with your dream remote job

Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan