Carlton S.

Software Engineer

Redmond, Washington, United States12 yrs 8 mos experience
Highly Stable

Key Highlights

  • Expert in cloud infrastructure and decommission engineering.
  • Proficient in big data analytics and real-time processing.
  • Strong background in software development across multiple languages.
Stackforce AI infers this person is a Cloud Computing and Big Data expert with strong software engineering capabilities.

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Skills

Other Skills

JavaScalaMicrosoft SQL ServerSQLC#DatabasesC++ASP.NETWindowsJavaScriptJSPPHPHTMLEclipseDistributed Systems

Experience

12 yrs 8 mos
Total Experience
3 yrs 2 mos
Average Tenure
3 yrs 1 mo
Current Experience

Factorial energy

Software Engineer

May 2023Present · 3 yrs 1 mo · Remote

Confluent

Software Engineer

Jan 2022May 2023 · 1 yr 4 mos · Remote

  • Worked on Infrastructure Security related engineering projects.

Microsoft

2 roles

Senior Software Engineer

Mar 2018Dec 2021 · 3 yrs 9 mos

  • Working on Microsoft Cloud Infrastructure decommission engineering. Automating planning, inventory keeping, and execution of decommission.

Software Engineer

Jan 2015Mar 2018 · 3 yrs 2 mos

  • Working on several Data Center asset decommission related projects under Microsoft Cloud Infrastructure Operations Engineering group (MCIO-E).
  • Implemented a Storage Device data eradication toolset that leverages firmware embedded tools and surface write to ensure data securely erased in shortest possible time.
  • Participated in designing a distributed server information collector and decommission preparation agent network system.
  • Implemented a Statement of Work and billing data parsing system which is able to perform automatic rule-based integrity check and inform relevant parties.

Nrelate

Software Engineer

Aug 2013Dec 2014 · 1 yr 4 mos · New York, NY

  • Worked as a critical team member to ensure data delivery and process with accuracy as well as in a timely fashion.
  • Developed a data stream relay component, which is deployed on front-end web servers to ensure delivery of user access data and load balancing between message queue facilities.
  • Built and maintained a Hadoop MapReduce based analytics job with Scalding (Cascading) that processes daily data for aggregation, analysis like fraudulent detection, and error correction. The job interacts with HDFS, MySQL, Cassandra, Memcached, and Redis.
  • Implemented a real-time data processing facility on Storm to insert time sensitive information into data stream.
  • Developed tool software to sanity check data and perform automatic correction if possible.

Education

Carnegie Mellon University

Master of Information Systems Management

Jan 2011Jan 2013

Nanjing Normal University

Bachelor of Science — Information Management And Information Systems

Jan 2005Jan 2009

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