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John Stone Email & Phone Number

Data Engineer at Mercy Ships
Location: Greater Seattle Area, United States, United States 6 work roles 1 school
1 work email found @mercyships.org LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email j****@mercyships.org
LinkedIn Profile matched
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Current company
Role
Data Engineer
Location
Greater Seattle Area, United States, United States
Company size

Who is John Stone? Overview

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Quick answer

John Stone is listed as Data Engineer at Mercy Ships, a company with 1441 employees, based in Greater Seattle Area, United States, United States. AeroLeads shows a work email signal at mercyships.org and a matched LinkedIn profile for John Stone.

John Stone previously worked as Data Engineer at Resortpass and Data Engineer at Workstep. John Stone holds Bachelor’S Degree, Computer Information Systems from University Of Texas At Tyler.

Company email context

Email format at Mercy Ships

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{first_initial}{last}@mercyships.org
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AeroLeads found 1 current-domain work email signal for John Stone. Compare company email patterns before reaching out.

Profile bio

About John Stone

As a results-driven Data Engineer with a passion for data innovation, I bring a wealth of experience in data engineering within the tech industry. My career has been marked by a relentless pursuit of excellence, demonstrated through my pioneering data quality assessment techniques and automation of complex processes. My expertise extends to large-scale project management and continuous process improvement in the fast-paced landscape of data engineering.At the forefront of data engineering, I have played a pivotal role in enhancing data infrastructure and streamlining database operations. Recognized for my innovative approach, I have been a driving force in the data engineering space, showcasing a commitment to technical excellence. My track record reflects an ability to deliver multiple large-scale projects simultaneously and meet tight deadlines, ensuring operational efficiencies.Beyond technical prowess, my leadership style is characterized by compassion and motivation. I excel in cultivating robust relationships with cross-functional teams, leading high-performing teams, and fostering an environment of continuous improvement. As a data engineer, I am dedicated to not only delivering results but also fostering an environment of innovation and technical excellence in the fast-paced data engineering landscape.A few of my career highlights include:- Provided software solutions using experience across 12+ programming languages, including designing and delivering a cloud data warehouse in just 3 months as a solo developer at a hospitality tech startup. This project utilized dbt, Redshift, S3, and Looker, and included creating a comprehensive Sales and Marketing data model for consumption in Looker.- Spearheaded the restructuring and migration of hundreds of Spark and Redshift ETL jobs at Amazon, optimizing 50K lines of Spark code, migrating schema, and fine-tuning Redshift datasets. This initiative significantly enhanced performance, improved reliability, and cleared backlog items that were stalled for 2 years.- Delivered comprehensive onboarding and mentorship for Amazon engineers, covering Linux development environment setup, installation of build tools and dev tools, and the process for creating pull requests.

Listed skills include Programming, Business Analytics, Business Intelligence, Databases, and 56 others.

Current workplace

John Stone's current company

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Mercy Ships
Mercy Ships
Data Engineer
Seattle, WA, US
Website
Employees
1441
AeroLeads page
6 roles

John Stone work experience

A career timeline built from the work history available for this profile.

Data Engineer

New York City, NY, US

  • Architected and implemented a data lakehouse using Redshift, S3, dbt, and Airflow
  • Implemented Looker as the company’s primary analytics tool, with dbt models as the source
  • Migrated core datasets and KPIs from Metabase to the data lakehouse and Looker
  • Designed and implemented data pipelines to ingest and integrate external data sources for ad performance, clickstream data, and geodata using S3, Glue, Redshift Spectrum, dbt, and Airflow
  • Identified data quality issues and collaborated with data owners to improve data management and collection practices, including a 46% increase in customer location data quality
  • Created over 1,800 automated tests for data quality, key integrity, data types, and freshness
Feb 2023 - Nov 2023

Data Engineer

San Francisco, CA, US

  • Designed and developed data models for workforce analytics in a cloud data warehouse using SQL, Python, BigQuery, dbt, Looker, and Fivetran
  • Implemented key metrics using BigQuery and dbt for modeling and Looker as the business intelligence tool
  • Assessed and mitigated data quality issues using pandas-profiling, Jupyter, and BigQuery to profile the data and dbt transformations to implement data cleaning logic
  • Improved the scalability, observability, and performance of data ingestion pipelines by migrating a legacy solution to Google Cloud Storage, BigQuery, and Python
  • Drafted design documentation and contributed to data engineering project planning
Sep 2022 - Jan 2023

Data Engineer

Durham, NC, US

  • Developed a cloud data warehouse using SQL, Python, Snowflake, and AWS (Airflow, S3) with data sourced from Snowflake, Salesforce, and REST APIs
  • Increased the performance of data transfer operations by over 1,200% by refactoring Python code used in Airflow to use parallel processing during S3 operations
  • Led implementation of Git version control, automated unit testing, and CI/CD in the cloud data engineering space for a large team
  • Refined and extended the team's approach to developing cloud data pipelines: data quality assessment, data architecture review, design, validation, change management, and documentation
  • Researched issues related to incorrect and missing Salesforce data in collaboration with stakeholders and delivered fixes to Snowflake views
Jun 2021 - Jan 2022

Data Engineer

Lindale, US

  • Developed data warehouse modules, data extract and load systems, dimensional data models, dashboards, and reports using SQL, Qlik Sense, Salesforce, and REST APIs
  • Implemented Git version control and a formal software release process for ETL and BI application development
  • Integrated data from Salesforce, JIRA, Microsoft SQL Server, MySQL, PostgreSQL, Microsoft SharePoint, REST APIs, and flat files
  • Developed new data models for measuring IT ticket response time, service availability, employment history, employee satisfaction, tenure, retention, global recruitment, and maritime legal compliance auditing
Apr 2018 - Apr 2021

Business Intelligence Developer

Longview, TX, US

  • Developed and maintained dashboards, reports, and a dimensional data warehouse using SQL and QlikView
  • Enhanced the sales and marketing data model to include cost of goods sold
  • Integrated data from STEMCO’s international locations and acquisitions
  • Wrote SQL queries to ingest data from multiple relational databases, including Microsoft SQL Server and Oracle
  • Created source-to-target maps to document data lineage
Apr 2016 - Aug 2017
Team & coworkers

Colleagues at Mercy Ships

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1 education record

John Stone education

  • University Of Texas At Tyler
    University Of Texas At Tyler
    Computer Information Systems
FAQ

Frequently asked questions about John Stone

Quick answers generated from the profile data available on this page.

What company does John Stone work for?

John Stone works for Mercy Ships.

What is John Stone's role at Mercy Ships?

John Stone is listed as Data Engineer at Mercy Ships.

What is John Stone's email address?

AeroLeads has found 1 work email signal at @mercyships.org for John Stone at Mercy Ships.

Where is John Stone based?

John Stone is based in Greater Seattle Area, United States, United States while working with Mercy Ships.

What companies has John Stone worked for?

John Stone has worked for Mercy Ships, Resortpass, Workstep, Avalara, and Stemco Lp.

Who are John Stone's colleagues at Mercy Ships?

John Stone's colleagues at Mercy Ships include Janet Butler, Natalie Schierloh, Gabriel Oludaisi, Michelle Privette, and John Corffe.

How can I contact John Stone?

You can use AeroLeads to view verified contact signals for John Stone at Mercy Ships, including work email, phone, and LinkedIn data when available.

What schools did John Stone attend?

John Stone holds Bachelor’S Degree, Computer Information Systems from University Of Texas At Tyler.

What skills is John Stone known for?

John Stone is listed with skills including Programming, Business Analytics, Business Intelligence, Databases, Sql, Data Analysis, Mysql, and Analytics.

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