Kevin Crouse

Kevin Crouse Email and Phone Number

Data Ingestion Engineer @ Nextonic Solutions
germantown, maryland, united states
Kevin Crouse's Location
Philadelphia, Pennsylvania, United States, United States
About Kevin Crouse

My skill set is eclectic and unique, including expertise in computer software development, social science research, data governance, multivariate statistical analyses, and the design of both database pipelines and warehouse schemas. In my current role, I work to build data pipelines to facilitate the translation of research data into evidence that can lead to new clinical practices and medicines. In educational and criminal justice contexts, I have worked with state policy-makers, researchers, and local practitioners to improve a wide range of evidence-informed decision-making, ranging from more effective use of teacher evaluations to automating system to identify logic issues in student records to building a data infrastructure to increase knowledge and collaboration between prosecutors, the police, and courts. Through my prior career in large-scale bioinformatics, I have designed business intelligence database systems, implemented application frameworks using a polyglot of languages and interfaces, and set up cloud infrastructure for analysts and researchers.I seek work where I can effect impact at scale. I am mission driven and want to do good work that has wide ranging benefits. Given my skill set, that likely will be at a nexus between effectiveness research and the understanding of how people interact with new information, evidence, and data.

Kevin Crouse's Current Company Details
Nextonic Solutions

Nextonic Solutions

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Data Ingestion Engineer
germantown, maryland, united states
Employees:
3
Kevin Crouse Work Experience Details
  • Nextonic Solutions
    Data Ingestion Engineer
    Nextonic Solutions Nov 2023 - Present
    Maryland, United States
    As the Data Ingestion Engineer with Nextonic Solutions, I build data pipelines for the National Center for Advancing Translational Sciences (NCATS), a division of the National Institutes of Health (NIH). In this role, I: • Design, develop, and implement efficient data ingestion (ETL/ELT) processes, primarily with Python;• Validate the data to ensure accuracy, consistency, and integrity at every stage of the ingestion process;• Automate workflows to minimizing the need for manual monitoring or routine interaction;• Manage, monitor, and optimize databases (Postgres, MySQL) to ensure high availability, performance, and scalability;• Implement best practices for indexing, query optimization, and database tuning to ensure optimal query performance.
  • Philadelphia District Attorney'S Office
    Data Engineer
    Philadelphia District Attorney'S Office May 2021 - Nov 2023
    Philadelphia, Pennsylvania, United States
    As the Data Engineer in the District Attorney's, I:- build infrastructure tools and libraries to help our researchers and data analysts easily build reports and conduct analyses.- moved the office to Apache Airflow from outdated crons and maintain automated systems for ETL, data validation, and reporting. - create clean, flexible, continually updated data sets in Apache Parquet format for use in multi-language, multi-platform contexts about the criminal justice system and the welfare of individuals associated with the criminal justice system.- Maintain a cloud-based, flexible AWS EC2 development environment for the analyst and research teams to work in that leverages images, backups, and the AWS python API to spin up and shut down new instances as necessary.- Manage DATA Lab databases in AWS RDS and NoSQL databases and move towards more sophisticated data warehousing to further support colleagues in advanced analytics.- Evangelize and educate teams across the DAO on standard methodologies around data services development, data privacy and security, good programming practices, and improving efficiency.- Improve DAO data operations by automating manual processes, optimizing data storage and delivery, and redesigning infrastructure for scalability.
  • The School District Of Philadelphia
    Director, Office Of Data Governance
    The School District Of Philadelphia Oct 2018 - May 2021
    Greater Philadelphia Area
    My office developed, managed, implemented, and oversaw projects and initiatives that relate to establishing effective data governance policies and ensuring data quality of school district administrative data. Sitting adjacent to the division of Information Technology, my work was divided between proactive governance policy development, analytics that supported program office business needs, oversight of major data quality initiatives, and custom data science investigations for higher level data insights. I designed and implemented data validation systems to achieve and maintain high levels of data quality and directly manage and oversee the data validation work of the Evaluation, Research, and Accountability division.
  • The School District Of Philadelphia
    Senior Associate
    The School District Of Philadelphia Jul 2017 - Nov 2018
    Greater Philadelphia Area
    In the Planning and Evidence-Based Support Office, I helped school leaders set measurable goals, monitor progress, and use evidence in the decision-making surrounding data outcomes. This included working in continuous improvement cycles, building programmatic tools and reports to facilitate progress monitoring, performing ad-hoc analyses to assist Assistant Superintendents and other school and district leaders, and leading implementation of performance management initiatives.
  • School System Improvement Project
    Research Associate
    School System Improvement Project Sep 2016 - Jul 2017
    Rutgers Graduate School Of Applied And Professional Psychology, Piscataway, Nj
    The School System Improvement Project seeks to help improve teacher and school effectiveness. It is funded through a $40 Million US Department of Education Teacher Incentive Fund grant to deploy new measures of effectiveness in schools over through course of five years. In this role, I built a data management systems to analyze, integrate, quality control, and process disparate datasets that included state rosters, local assessments, PARCC & other standardized assessment data, and teacher observations; conducted quantitative teacher effectiveness analyses; coordinated data-gathering with schools; automated the identification of incorrect data entry scenarios; balanced priority needs of project managers, researchers, instructional coaches, and school administrators; developed better quality control procedures to minimize errors; prepared proposals and presentations for annual reports, academic conferences, and school feedback. I used SQLite and Postgres for database management, Python for automation, and R and SPSS for data analysis.
  • Kipp New Jersey
    Data Science Intern
    Kipp New Jersey May 2015 - Aug 2015
    Newark, Nj
    For this internship during my doctoral work, I aggregated, integrated, and analyzed teacher and student data available through several databases (including PowerSchool and ADP), spreadsheets, and other data sources. I conducted interviews to understand current practices and uses of data. I used R/Shiny, Python, and Perl to conduct analyses.
  • The Genome Institute
    Senior Developer
    The Genome Institute Jun 2000 - Jun 2011
    4444 Forest Park Ave, Saint Louis, Mo 63110
    At TGI, my role as a senior, full-stack software developer helped to produce high quality genetic sequence for projects that included the Human Genome Project and The Cancer Genome Atlas. This included the full lifecycle of software and database development, project management duties ranging from requirements gathering and problem formation to group facilitation of multiple stakeholders, and serving as a rotating project lead of developer teams for the final design, implementation, and quality control. I developed standalone applications, web MVC and REST platforms, both OLTP (production) and OLAP (Business Intelligence) database systems, and data analysis tools to facilitate data-driven decision-making. We used a polyglot of languages and systems. While the term "big data" came into parlance after my time at TGI, I was directly responsible for production systems that generated roughly 12 million unique _final_ data elements per day, each that had gone through a pipeline that chained between 50 and 200 attributes and actions to them. As an example of the scale that we handled, our team had to deal with the limits of data throughput across CAT5 cable because we generated more data each day than could be transferred in 24 hours.
  • Fulbright Institute Of International Education
    Fulbright Eta
    Fulbright Institute Of International Education Jan 2008 - Aug 2008
    Setiu, Terengganu, Malaysia
    Teaching Malaysian students English Language and Literature.

Frequently Asked Questions about Kevin Crouse

What company does Kevin Crouse work for?

Kevin Crouse works for Nextonic Solutions

What is Kevin Crouse's role at the current company?

Kevin Crouse's current role is Data Ingestion Engineer.

What schools did Kevin Crouse attend?

Kevin Crouse attended Rutgers University, Rutgers Graduate School Of Education, Washington University In St. Louis, Washington University In St. Louis.

Who are Kevin Crouse's colleagues?

Kevin Crouse's colleagues are Victor Novichkov, Nathan Miller, Antoine Gerardin, Bengt Ljungquist, Shaharyar Jafri, Muhammad Abeer Ahmed, Kelly Surano.

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