Tom Schneider

Project Manager / Software Engineer at Resource Data, Inc.
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Anchorage, Alaska, United States, US
Languages
  • English Native or bilingual proficiency
  • French Elementary proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
You need to have a working account to view this content.

Experience

    • United States
    • Software Development
    • 100 - 200 Employee
    • Project Manager / Software Engineer
      • Sep 2021 - Present

      Developed ETL and graph database using Spark, Python, Airflow, Neo4j and Docker to analyze depen- dencies during deployment, increasing test coverage from 73% to 94% and improving stakeholder support. Developed a custom ETL using Python and Pandas to load unstructured document (JSON) data to a SQL Server database, improving marketing insights by improving access to 18 years of data Developed a scalable, serverless microservice from initial requirements to MVP using C# and Azure Functions to analyze transactions for a grant-management system, reducing users’ accounting errors. Grew data engineering team at $80 billion investment fund by creating strategy for data dictionary/catalog, ETL, data pipeline, and data warehouse implementations to support current and future cloud-based analytics. Increased release frequency by 30% for a web application by implementing and leading Scrum agile framework. Created an application using Python and SQL, and React to automatically parse, classify, and rank past contracts, allowing users to target the most relevant sales opportunities. Show less

    • United States
    • Mining
    • 1 - 100 Employee
    • Senior Process & Data Engineer
      • Oct 2019 - Jul 2021

      Built and deployed ELT pipeline to process streaming IIoT data using Apache Kafka, AWS S3, Node-Red, and HiveMQ, creating predictive maintenance and process analysis tools used to reduce process downtime. Created process models using Python and Pandas to identify bottlenecks, leading to increasing throughput by 4.4 tons/hour and increasing revenue $1.7 million/yr. Optimized electrical power usage by analyzing usage data and programming power allocation to process units, allowing an 8% production increase without additional infrastructure. Increased process reliability by 17% by implementing analog data sampling and building predictive and prescriptive data analysis tools to improve operating methods. Increased production efficiency of a recycled metals processing plant by 45% using process data to identify latent capacity and implementing unit process upgrades. Show less

    • Australia
    • Mining
    • 700 & Above Employee
    • Process Engineer
      • Jan 2018 - Oct 2019

      Reduced engineering workload by 11 hours/week by optimizing and automating operational data ETL processes. Combined streaming IIoT and batch data to build more robust process models using SQL Server, Powershell, and PI Asset Framework, reducing incident frequencies and response times. Facilitated production increase of 50% by incorporating batch and streaming data into process analytics. Improved time-series data access performance 98% by optimizing queries and server-side aggregations. Show less

    • United States
    • Manufacturing
    • 700 & Above Employee
    • Process Engineer
      • Dec 2015 - Jan 2018

      Saved $500k/yr. by building an IoT device reliability regression model and an associated data pipeline. Reduced costs by $1.4 million/yr. by validating process changes using SQC models. Reduced downtime costs by $1.4 million/yr. by optimizing PLC control programming. Increased overall equipment effectiveness by 18% by creating an IoT-based parts failure prediction service. Saved $500k/yr. by building an IoT device reliability regression model and an associated data pipeline. Reduced costs by $1.4 million/yr. by validating process changes using SQC models. Reduced downtime costs by $1.4 million/yr. by optimizing PLC control programming. Increased overall equipment effectiveness by 18% by creating an IoT-based parts failure prediction service.

    • United States
    • Mining
    • 700 & Above Employee
    • Metallurgist II
      • Jan 2015 - Dec 2015

      Used process data and analysis tools to create and present reports to management, operations, maintenance, and engineering teams. Trained operations staff and created SOPs related to plant operations. Coordinated maintenance and plant engineering priorities between operations, maintenance, and engineering groups. Forecast production levels and costs. Commissioned industrial IoT devices in safety-critical process, saving $500k/yr. in reduced unit failures. Reduced nuisance alarms by 98% by by applying data filtering algorithms across streaming IoT sensors. Show less

    • Metallurgist I
      • Jun 2013 - Jan 2015

    • United States
    • Manufacturing
    • 700 & Above Employee
    • Research, Design, and Engineering Intern- Process Engineering
      • Jun 2012 - Aug 2012

      • Planned and executed pilot scale production trials for a global new product launch • Created recommendations for future production trials • Planned and executed pilot scale production trials for a global new product launch • Created recommendations for future production trials

    • Packaging & Containers
    • 700 & Above Employee
    • Process Engineering Co-op
      • Sep 2010 - Aug 2011

      • Provided technical support for anaerobic digester wastewater treatment system • Oversaw daily operations of a pilot anaerobic digester system • Designed, conducted, and reported on trials for pilot system • Conducted lab work for routine testing and research purposes • Supervised contractor and in-house maintenance work during paper machine outages • Designed improvements to pilot system and oversaw their construction • Provided technical support for anaerobic digester wastewater treatment system • Oversaw daily operations of a pilot anaerobic digester system • Designed, conducted, and reported on trials for pilot system • Conducted lab work for routine testing and research purposes • Supervised contractor and in-house maintenance work during paper machine outages • Designed improvements to pilot system and oversaw their construction

Education

  • Michigan Technological University
    BS, Chemical Engineering
    2008 - 2013

Community

You need to have a working account to view this content. Click here to join now