Liang Cheng
Indio, California, United States
Summary
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SeniorLiang Cheng is a Principal Data Scientist and certified Cloud SME with 11 years of experience designing secure, compliant cloud architectures and operating petabyte-to-exabyte scale data workloads for financial, government, and enterprise clients. He specializes in FedRAMP/NIST 800-53 implementation on AWS (including GovCloud), cloud migration, DevOps automation, and building serverless, high-throughput data pipelines. As a founder and consultant he has modernized hedge fund data stacks, delivered SOC2 and FedRAMP projects to ATO in compressed timelines, and automated manual ETL to hourly, cost-efficient pipelines for energy and media customers. He pairs deep hands-on skills across Big Data toolchains (Spark, Hadoop, Athena), observability platforms (Datadog, ELK, Splunk), and security tooling (Palo Alto, Nessus, Tripwire) with full-stack development experience in React, Node.js, and Ruby on Rails. Currently at August Schell he’s building AI-driven toolchains for government challenges and demoing Databricks Federal use cases in space domain awareness—an example of his knack for applying commercial cloud patterns to specialized public-sector problems. He holds advanced degrees in electrical engineering and a pragmatic cross-domain perspective from roles at AWS, Booz Allen, Comcast, Qualcomm, and others.
11 years of coding experience
Github Skills (26)
amazon-redshift7
amazon6
deep-security5
nyc5
aws4
api3
trend3
security2
aws-lambda2
python2
database2
sdk2
linux1
amazon-linux1
node-module1
Programming languages (10)
Github contributions (5)
lcheng6/nyc-taxi-data-code-annotated
Jan 2018 - Jan 2023
Import public NYC taxi and Uber trip data into PostgreSQL / PostGIS database, analyze with R
Contributions:22 pushes, 2 branches in 5 years
taxiuberpostgisdatabasepostgres
loganpowell/Refrigerecipe
May 2017 - Jun 2017
find out what you can cook based on what you got in the fridge.
Contributions:133 commits, 20 PRs, 144 pushes in 14 days
cookfridge
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