Chris Thrailkill Email & Phone Number
@netflix.com
2 phones found area 408 and 866
LinkedIn matched
Who is Chris Thrailkill? Overview
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Chris Thrailkill is listed as Staff Data Engineer at Netflix, a with 17330 employees, based in Santa Clara, California, United States. AeroLeads shows a work email signal at netflix.com, phone signal with area code 408, 866, and a matched LinkedIn profile for Chris Thrailkill.
Chris Thrailkill previously worked as Staff Data Engineer - Data Science and Engineering at Netflix and Staff Data Engineer - Data Science & Engineering at Netflix. Chris Thrailkill holds Bachelor Of Science (Bs), Mis from Iowa State University.
Email format at Netflix
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AeroLeads found 1 current-domain work email signal for Chris Thrailkill. Compare company email patterns before reaching out.
About Chris Thrailkill
Deep data management experience across a wide breadth of domains, technologies, platforms, and architectural patterns. Most recent experience includes senior-level, individual contributor Data Engineering roles at the intersection of the following:Domains* Studio Production * Cloud Infrastructure (Capacity and Efficiency) * Information Security * Payments * Machine Learning and Analytics Languages/Technologies* Java, Scala, Python, R * Git, Gradle, Jenkins, Spinnaker (CI/CD) * Cassandra, Elasticsearch, Druid, JanusGraph, Tableau Platforms/Frameworks* Spark, Hadoop, Mesos * AWS (EC2, EBS, RDS, S3, SNS/SQS, DynamoDB, etc.) * Spring BootPatterns* Dimensional data warehousing, Master Data Management * Distributed data processing/Batch & Stream-based ETL * Microservices, REST API development (Spring Boot)
Listed skills include Data Warehousing, Etl, Business Intelligence, Hadoop, and 21 others.
Chris Thrailkill's current company
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Chris Thrailkill work experience
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Staff Data Engineer - Data Science And Engineering
Staff Data Engineer - Data Science & Engineering
Designing & building scalable data products in support of various operational and analytic initiatives. Highlights include:* Developed a cross-platform utility that enables use of t-digest (https://github.com/tdunning/t-digest) approximate histograms in Spark, Hive, and Druid queries, supporting interoperability between probabilistic sketches created via different versions of the t-digest library. * Contributed to Kayenta (https://github.com/spinnaker/kayenta) OSS Automated Canary Analysis tool, porting the Mann-Whitney U Test algorithm to Scala. * Developed a Spark-based ETL framework - a library of reusable components solving for common ETL development patterns. Used by data engineers & non-data engineers alike, enabling rapid development and self-service data sourcing. * Designed & built a graph (network) based Master Data Management system for maintaining a universal system of record for cloud infrastructure primitives (clusters, instances. etc.) and allowing for federated data governance of corresponding metadata. * Developed the data processing & ML anomaly detection layer of a Security Information and Event Management system. * Developed various time series-based anomaly detection pipelines in support of Payments fraud detection and processing optimization efforts. * Developed, maintained, and supported numerous distributed (Spark, Pig) ETL pipelines, encompassing extremely large data volumes (e.g., high 10’s of billions of rows per hour) and complex processing logic (e.g., high-volume distributed lookups against extremely large, dynamic datasets.)* Prototyped a distributed deep learning training architecture for computer vision models, utilizing Horovod on Spark 3.x and a GPU-enabled cluster. Enabled end-to-end distributed processing from feature engineering through model training.
Data Engineer, Architect, & Manager
* Designed, built and managed LikeList data and search platforms. * Developed underlying site database. * Modeled dimensional analytical data mart and built out reports. * Utilized MapReduce on Hadoop to perform ad hoc analysis on voluminous unstructured data. * Created roadmap for scale-out of data systems, accounting for web-scale social growth patterns and addressing transactional, operational, and analytic capability requirements. * Advocated for, planned & managed deployment of data environments in the Cloud, namely Amazon Web Services EC2, EBS, RDS, EMR, and S3 offerings.
Analyst, Consultant, & Consulting Manager - Systems Integration
Data Management and Business Intelligence systems integration, specializing in Customer Data Integration Roles & highlights include:* Enterprise data strategy lead - Was tech lead on effort to define multi-year enterprise data management roadmap and solution architecture, including “to-be” BI and data warehouse architectures and detailed planning of proposed phase 1 master data management (MDM) solution implementation. * Data architect/engineering lead - Led multiple phases of an enterprise data integration project. Tasked with scoping, planning, architecting, and delivering a consolidated customer data mart, integrated across all lines of business. Role included management of offshore resources. * Development lead and performance test architect - Developed instrumentation to assess performance and scalability of real-time ETL flows deployed as SOAP services. Analyzed and managed deployment of performance code fixes. * Data engineer - Designed and built operational data processing solutions for ad hoc, rapidly deployable analytics initiatives. * Developer, systems admin, and DBA - Supported delivery of various business intelligence proof-of-concept initiatives. Performed tasks such as deployment and administration of servers, storage, and databases; database configuration and tuning; platform deployment and administration; dimensional data modeling, ETL and report development.
Colleagues at Netflix
Other employees you can reach at netflix.com. View company contacts for 17330 employees →
Gtav Flo
Colleague at NetflixDettelbach, Bavaria, Germany
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David Gallman
Colleague at NetflixWest Columbia, South Carolina, United States
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Aybüke Güneş
Colleague at NetflixIstanbul, Türkiye, Turkey
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Adriano Quinto
Colleague at NetflixGreater Rome Metropolitan Area, Italy
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Zahra Rouhi
Colleague at NetflixTehran, Tehran Province, Iran, Islamic Republic Of
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Jutt Sab
Colleague at NetflixPunjab, Pakistan
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Miguel Palacios Jamardo
Colleague at NetflixO Convento, Galicia, Spain
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Lu Nee
Colleague at NetflixHannover, Lower Saxony, Germany
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Samantha Valencia
Colleague at NetflixSalida, California, United States
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Bhoore Khan
Colleague at NetflixDelhi, India
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Chris Thrailkill education
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Iowa State University
Frequently asked questions about Chris Thrailkill
Quick answers generated from the profile data available on this page.
What company does Chris Thrailkill work for?
Chris Thrailkill works for Netflix.
What is Chris Thrailkill's role at Netflix?
Chris Thrailkill is listed as Staff Data Engineer at Netflix.
What is Chris Thrailkill's email address?
AeroLeads has found 1 work email signal at @netflix.com for Chris Thrailkill at Netflix.
What is Chris Thrailkill's phone number?
AeroLeads has found 2 phone signal(s) with area code 408, 866 for Chris Thrailkill at Netflix.
Where is Chris Thrailkill based?
Chris Thrailkill is based in Santa Clara, California, United States while working with Netflix.
What companies has Chris Thrailkill worked for?
Chris Thrailkill has worked for Netflix, Likelist, Inc., and Accenture.
Who are Chris Thrailkill's colleagues at Netflix?
Chris Thrailkill's colleagues at Netflix include Gtav Flo, David Gallman, Aybüke Güneş, Adriano Quinto, and Zahra Rouhi.
How can I contact Chris Thrailkill?
You can use AeroLeads to view verified contact signals for Chris Thrailkill at Netflix, including work email, phone, and LinkedIn data when available.
What schools did Chris Thrailkill attend?
Chris Thrailkill holds Bachelor Of Science (Bs), Mis from Iowa State University.
What skills is Chris Thrailkill known for?
Chris Thrailkill is listed with skills including Data Warehousing, Etl, Business Intelligence, Hadoop, Master Data Management, Mysql, Oracle, and Informatica.
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