Chuck Sheldon personal email
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STRENGTHS per peers in past year: Perceptive, efficient, great communicator, fun to work with. Often "gets to the point" in 1/10 time. Insightful (deep understanding), thorough (right the first time). Learns quickly, executes well, very responsible, diligent, completes work in timely way, comprehensive docs, nailing all detailsIMPACT OF FURY tool per supervisors:SERIOUSLY GREAT...big kudos from [dir], [VP][customers] believe [FURY] metrics [but not grid expert] that TT cluster can solve [need so no] new cluster [needed]IMPACT OF 4 TOOLSFURY: Marissa acked $1.3M storage saved; 2 major data migrations with zero production impact: HQL,MySQL,Perl,HTMLMDFS: Expose cloud data flow issues for 5+ yrs: Perl/HDFS tool reports latency, gaps, sizes, quotasEASI: Auto config 30k ad servers: Perl tool used by 3 teams: dev, QA, opsCSC: Drove Yahoo transition to client side counting: Perl back endRECENT (past ten yrs)6+ yrs: Linux (RHEL), Perl, shell scripts, custom tools and automation.3-5 yrs: FreeBSD, SQL, XML, Agile, Kanban, config mgmt, Jenkins user.1-2 yrs: Git, HQL, Hive, Hcat, YAML, JSON, HTML, TDD, major corp-wide CI/CD/Chef transition.Training: Git, Chef, Agile at Yahoo, then Python, Java.PAST (pre-Yahoo)6+ yrs: Unix, C, shell, GnuMake, build-release-test automation, APIs.3-5 yrs: Perl, Windows, config mgmt.1-2 yrs: OO Perl, Linux, VC++, Javascript, HTML, XML, SQL.
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Production Service Engineer (Big Data, Devops)Yahoo! Inc. Mar 2014 - Jun 2016Sunnyvale, Ca2 years: 60% grid data ops, 40% grid ops: oncall, onboarding, deployments for large, “bare metal” multi-tenant Hadoop clusters with many proxies and services: Hue, Hive, Hcat, Hbase, Storm, Oozie, Zookeeper, for internal customer base of thousands.Set up several Hue clusters and supported all Hue clusters for about a year. Hue setup components:- Validate hosts, VIPs, Cnames, SAML, provision via Chef; coordinate with Hue database servers.Spearheaded several projects such as BCP, single point of failure, deployment processes. Examples:- Rack tool identified redundancy SPOFs, such as both ANN and SBN confined to a single rack.- Optimize network usage with script to find dataset configs to find polling frequency outliers. -
Production Service Engineer (Big Data Management)Yahoo! Inc. Mar 2011 - Mar 2014Sunnyvale, Ca3 years grid data ops: oncall, onboarding for acquisition, replication, retention of ~50 PB of data on ~15 Hadoop clusters. Led dataset optimization projects: polling frequency, bandwidth. Sample tools:- mdfs tool exposed cloud data flow issues for 5+ yrs: highly integrated, extensible Perl/HDFS tool reports: - latency, date gaps, usage (counts, sizes), quota (size, namespace) on multiple clusters.- FURY leveraged Starling (digest of Hadoop logs) in Hive to find who used which data when, with access via HTML reports and MySQL queries; find users of obsolete feeds; highly optimized: got 50X Hive HQL speedup via partitioning and special Hive query; very fast SQL queries, Perl.- Supervisor said, “SERIOUSLY GREAT WORK HERE !!!! … big kudos from [dir] and [VP] …”- Yahoo CEO Mayer acknowledged $1.3M initial space savings at company FYI meeting.- The tool enabled two major all-Yahoo grid data migrations with zero production impact.- One manager said, "This allows Yahoo to accelerate on Product initiatives without incurring additional CapEx/OpEx and delays due to hardware procurement." - Example: supervisor said certain off-grid customers “believed [FURY] metrics [but not our top grid expert] that the TT cluster can solve their problem instead of building a new cluster.”
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Production Service Engineer (Map/Reduce App Management)Yahoo! Inc. Jun 2009 - Mar 2011Sunnyvale, Ca2 years grid apps: oncall, onboard, deploy, docs, tools for 10 Hadoop advertising apps. Sample tools:- Web-driven HTML/Perl app to drive standardized deployments with automatic deployment tracking.- HDFS quota filter, dfsq, about which coworkers said, "friggin sweet", "Awesome work!", "Improvement is an understatement; you've made it the way it should have been all along", "really nice to have."
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Software Tools EngineerYahoo! Inc. Jul 2006 - Jun 2009Santa Clara, Ca3 years Ad Ops: Created or optimized tools and databases to help manage 30,000 front end ad servers.- Team databases: added uniform security and moved databases to dedicated database server.- Tool server sysadmin: Moved corp-based team apps to new servers, debugged and enhanced tools.- Enabled automation of software configurations for ten types of ad servers by designing and implementing a Perl tool, "EASI" used on the source side by 3 teams: dev, QA, ops.
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Software Tools Engineer (6 Month Contract)Yahoo! Inc. Jan 2006 - Jun 2006Sunnyvale, CaDrove Yahoo transition to more precise client side counting of page views by creating the Perl back end.
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9 Years Build, Release, Test Automation EngineerSee List Below. 1985 - 2005Silicon ValleyPAST PROFESSIONAL EXPERIENCE: 9 years Build, Release, Test Automation2 years ADAC LABS: Automated 2 FTE of SCM, configuration management, releases.1 year GOULD IGD: Automated builds using C and shell scripts for 4 product teams.1 year INTERNATIONAL IMAGING SYSTEMS: Wrote makefiles with several options for a hundred build types on Unix.6 mos POWER DESIGN TOOLS: Develop make-driven test automation suite in Perl on Unix, Windows.1 year DATRON/TRANSCO: Do builds and testing of 1 million line software product on 2 Unixes.18 mos HEWLETT PACKARD: Make, makefile conversion, test automation on Linux and Unix.18 mos SALIENT POINT: Integrated web app from 3 teams (one in Russia), Visual C++, Windows6 mos HEWLETT PACKARD: Automated test and integration with both CLI and Web interfaces.1 year CISCO SYSTEMS: Retrofit verification to existing SCM system; black and white box testing (Perl)4 mos SKYSTREAM: Created OO Perl test harness and Perl test suite on Linux(this section summarizes build-related pre-Yahoo work history, much of it contracting)
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15 Years Data WranglingSee List Below. 1985 - 2005Silicon Valley2 years Adac Labs: digital images in raw RGB format, image processing apps.5 years Gould IGD: digital images in raw RGB format, project lead for image processing API.4 years Intl. Imaging: digital images in raw RGB format, project lead for TS/SCI imaging apps.6 mos Power Design Tools: electronic device files.18 mos Salient Point: categorize unstructured text with Verity Profiler API; created custom API.2 years Taxonomize: categorize unstructured text with Verity Profiler API, created web apps.(this section summarizes data-related pre-Yahoo work history, the last 2 startups. I was a partner in the last.)
Chuck Sheldon Skills
Chuck Sheldon Education Details
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Bioinformatics -
Biology, General -
Biology, General
Frequently Asked Questions about Chuck Sheldon
What is Chuck Sheldon's role at the current company?
Chuck Sheldon's current role is Custom Tools, Automation, Data Eng. Python,Perl,SQL,devops, 7 yrs cloud. Automate tedium: maximize quality, human talent.
What is Chuck Sheldon's email address?
Chuck Sheldon's email address is cs****@****hoo.com
What schools did Chuck Sheldon attend?
Chuck Sheldon attended Ucsc Silicon Valley Extension, San José State University, San Jose State University.
What skills is Chuck Sheldon known for?
Chuck Sheldon has skills like E Commerce, Perl, Web Analytics, Sem, Distributed Systems, Digital Marketing, Seo, Digital Strategy, Online Advertising, User Experience, Scalability, Digital Media.
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Chuck Sheldon
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