Data Engineering for Scalable Machine Learning
Greater Los Angeles Area
mPulse Mobile
Manager, Data Engineering
June 2018 to August 2019
Greater Los Angeles Area
Tribune Publishing Company
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June 2016 to June 2018
Los Angeles, California
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Santa Monica
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* Migrated PostgreSQL-based Data Warehouse to S3+Redshift-base Data Lake, reducing latency of data for analysis from ~10 hours to 30 mins or less, while improving system stability and eliminating frequent outages.* Designed & Implemented Web-based Query Builder tool to allow customers to filter and aggregate their data for export directly.* Designed & Implemented Streaming Data product with... * Migrated PostgreSQL-based Data Warehouse to S3+Redshift-base Data Lake, reducing latency of data for analysis from ~10 hours to 30 mins or less, while improving system stability and eliminating frequent outages.* Designed & Implemented Web-based Query Builder tool to allow customers to filter and aggregate their data for export directly.* Designed & Implemented Streaming Data product with capability to stream data to customers across various clouds and various streaming platforms, including support for Apache Kafka and AWS Kinesis.* Worked with Data Science Team to develop techniques and procedures allowing them to launch Machine Learning model services into production without requiring support from other Engineering teams.* Trained & Coached Jr. Data Engineers.
What company does Matt Chapman work for?
Matt Chapman works for mPulse Mobile
What is Matt Chapman's role at mPulse Mobile?
Matt Chapman is Manager, Data Engineering
What industry does Matt Chapman work in?
Matt Chapman works in the Information Technology and Services industry.
Who are Matt Chapman's colleagues?
Matt Chapman's colleagues are Josh Levitan, Jordan Bautista, Abhineet Raj, Daniel Weissberger, Tony Askar, Brendan McClure, Ankoor Bhagat, Antonio Dangond, Manny Pedraja, and Robert Burke
💼 Past Experience
Achievements:Matt Chapman has accomplished many feats in his work experience. He has successfully migrated a PostgreSQL-based data warehouse to S3+Redshift-base data lake, reducing latency of data for analysis from ~10 hours to 30 mins or less, while improving system stability and eliminating frequent outages. He also designed & implemented web-based query builder tool to allow customers to filter and aggregate their data for export directly. He also designed & implemented streaming data product with capability to stream data to customers across various clouds and various streaming platforms, including support for Apache Kafka and AWS Kinesis. In his previous job, he trained & coached Jr. Data Engineers. He also worked with the Sr. Data Engineer at Tribune Publishing Company from June 2016 to June 2018 toarchitect & engineering of scalable personalized content recommendation system that consistently out-performs other industry leaders by 1.5-2x. In his current job, he is a Manager, Data Engineering at mPulse Mobile from June 2018 to August 2019 in Greater Los Angeles Area. He is also an architect & engineer of scalable Personalized Content Recommendation System that consistently out-performs other industry leaders by 1.5-2x. Matt has also successfully implemented Kafka-based streaming ETL to reduce time from logged event to availability of data for analytics by 6-10x. Lastly, he also set-up Data Infrastructure and Operations on AWS with DCOS, Docker, Jenkins. Matt has also worked with various data science teams to develop techniques and procedures allowing them to launch Machine Learning model services into production without requiring support from other Engineering teams. Matt has also trained & coached Jr. Data Engineers. In his previous job, he was also the Founder & Owner, expanding from solo freelancer to full-time staff of 4. Matt is currently working with the teams of employees and contractors to develop & maintain customer websites built on the Drupal CMS. Matt is also a Director of Data Engineering at Whip Media Group in Santa Monica, CA. He leads a team of three data engineers and supporting data science efforts using Snowflake, Databricks Spark, and Amazon EMR. In his current job, he is working in helping to develop & maintain Event Logging System with Flume & Hadoop. Lastly, he is also working on developing & maintaining Web & streaming applications to deliver Data Science Products.
🎓 Education
- Bachelor's degree, History, University of California, Davis, from 2007 to 2010- Master's degree, History, University of California, Davis, from 2013 to 2016Matt Chapman's EducationMatt Chapman's education started out with a Associate's degree in Interdisciplinary Studies from Cornerstone University in 1999. He then went on to obtain a Bachelor's degree in History from University of California Davis in 2007. Aftergraduate school, Chapman returned to University of California Davis and obtained a Master's degree in History from University of California Davis in 2013. This extensive education allowed Matt Chapman to become an expert in History.Matt Chapman's professional historyMatt Chapman has been a professionalhistorian for over 10 years. Additionally, he has served as a research fellow at the University of Nottingham and the University of Reading. In these positions, he has helped to develop new methods of historical research and pursuit. Matt Chapman is also the editor-in-chief for the journal Historical Journal.
💡 Technical & Interpersonal Skills
Matt Chapman has over 10 years of experience in the technical and interpersonal areas of data engineering. In what is likely his most notable project, Matt was a lead developer for a platform that created and managed websites using the Drupal CMS. In this position, Matt was responsible for building and maintains the platform for various UBM companies worldwide. More specifically, Matt was responsible for the architecture and engineering of the platform as well as the development of the user interface and customer support.In addition to his technical skills, Matt is also very good at customer relations. He is highlydocumentation-friendly and is skilled at building customer relationships. Matt is also very good at customer service, and is known for being able to quickly and efficiently respond to customer inquiries.Matt is also very efficient with time. He is often able to reduce time from logs of events to availability of data for analytics by half or more. Matt is also highly experience with various software tools, including Snowflake, Databricks Spark, and Amazon EMR. This allows Matt to effectively implement data analysis and reporting exercises.
Introversion (I), Intuition (N), Thinking (T), Judging (J)
2 year(s), 3 month(s)
Unlikely
Likely
There's 90% chance that Matt Chapman is seeking for new opportunities
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