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Paul Lindquist Email & Phone Number

Hubble Squad Lead and Data Engineer - Airport Planning and Technology at American Airlines
Location: Dallas-Fort Worth Metroplex, United States, United States 9 work roles 12 schools
2 work emails found @abacustechnical.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

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Work email p****@abacustechnical.com
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Current company
Role
Hubble Squad Lead and Data Engineer - Airport Planning and Technology
Location
Dallas-Fort Worth Metroplex, United States, United States
Company size

Who is Paul Lindquist? Overview

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Quick answer

Paul Lindquist is listed as Hubble Squad Lead and Data Engineer - Airport Planning and Technology at American Airlines, a company with 56677 employees, based in Dallas-Fort Worth Metroplex, United States, United States. AeroLeads shows a work email signal at abacustechnical.com and a matched LinkedIn profile for Paul Lindquist.

Paul Lindquist previously worked as Hubble Squad Lead/Data Engineer - Airport Planning & Technology at American Airlines and Data Engineer - Airport Technology at American Airlines. Paul Lindquist holds Bachelor Of Fine Arts - Bfa from Carnegie Mellon University.

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Email format at American Airlines

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{first}.{last}@abacustechnical.com
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AeroLeads found 2 current-domain work email signals for Paul Lindquist. Compare company email patterns before reaching out.

Profile bio

About Paul Lindquist

TECHNICAL SKILLS• Languages: Python, Spark (PySpark), SQL• Cloud: Azure, Azure Databricks (ADB), Azure Data Lake Storage (ADLS)• Data Sources: JSON, CSV, XLS/XLSX• Libraries: Pandas, NumPy, SciPy, scikit-learn, statsmodels, TensorFlow, Keras, Natural Language Toolkit (NLTK)• Visualization Tools: Power BI, Tableau, Matplotlib, Seaborn, Plotly• Version Control: Git/GitHub• Databases: SQL (MySQL, PostreSQL/Postgres, SQLite, SQL Server), NoSQL (MongoDB, Couchbase)• IDEs: Visual Studio Code (VS Code), Jupyter Notebook• Agile: Rally• Virtual Communication: Zoom, Microsoft Teams (MS Teams), Slack• Operating Systems: MacOS, WindowsPassionate about using data to tell a story.https://github.com/paul-lindquist

Listed skills include Post Production, Television, Film, Leadership, and 28 others.

Current workplace

Paul Lindquist's current company

Company context helps verify the profile and gives searchers a useful next step.

American Airlines
American Airlines
Hubble Squad Lead and Data Engineer - Airport Planning and Technology
Texas, United States
Website
Employees
56677
AeroLeads page
9 roles

Paul Lindquist work experience

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

Hubble Squad Lead And Data Engineer - Airport Planning And Technology

Texas, United States

Hubble Squad Lead/Data Engineer - Airport Planning & Technology

Current

Dallas-Fort Worth, Texas, US

  • Supporting data efforts of multiple application teams and projects within Airport Planning & Technology (Operations)
  • Squad Lead for Hubble data team - Hubble provides data, analytics and visualizations for product portfolios in Airport Planning & Technology (Operations). This includes staffing, baggage, devices, ConnectMe, etc..
  • Environment: Azure, Azure Databricks (ADB), Azure Data Lake Storage (ADLS), Spark (PySpark), Python, SQL, Agile/Scrum, Git/GitHub, VS Code, Rally
Dec 2022 - Present

Data Engineer - Airport Technology

Dallas-Fort Worth, Texas, US

Contracted through Abacus Technical Services

Apr 2022 - Dec 2022

Data Science Student

NEW YORK, New York, US

  • Full-time, remote, 15-week intensive spanning a myriad of professional Data Science subjects
  • Areas of focus included, but were not limited to:
  • Data Analysis and Engineering: Python, variables, booleans, conditionals, lists, dictionaries, looping, functions, data structures, data cleaning, Pandas, NumPy, Matplotlib/Seaborn for data visualization, Git/GitHub.
  • Scientific Computing and Quantitative Methods: Combinatorics, probability theory, statistical distributions, Bayes' theorem, sampling methods, hypothesis testing, A/B testing, linear regression, model evaluation
  • Machine Learning Fundamentals: Linear algebra, logistic regression, maximum likelihood estimation, optimization cost function, pipeline building, hyperparameter tuning, grid search, scikit-learn, gradient descent.
  • Advanced Machine Learning: Dimensionality reduction, clustering, time series analysis, neural networks, big data, natural language processing (NLP), text vectorization, Natural Language Toolkit (NLTK), regular.
Oct 2021 - Jan 2022

Senior Associate, Technology Talent Solutions

Brentwood, Tennessee, US

  • Utilized Boolean search to source candidates from various platforms (Dice, LinkedIn Recruiter, etc.)
  • Cold-called candidates to cross-reference experience against technical requirements and gathered pertinent personal details required for submittal
  • Negotiated salaries/hourly rates with candidates to meet client budgets
  • Formatted resumes and submitted candidates to Sales Managers by packaging personal details and creating an elevator pitch to sell candidates
  • Scheduled client interviews with candidates via phone calls, confirmation emails and Outlook calendar invitations
  • Extended offers and drove closing process with candidates
Aug 2020 - Aug 2021

Senior Technical Staffing Associate

Plano, Texas, US

  • Company's top performing Recruiter (Apr 2016 - Nov 2019, Feb 2020 - Mar 2020), defined as most consultants on billing and highest gross revenue margins
  • Analyzed technical requirements from Business Development Managers and provided candidate market-input regarding potential difficulties
  • Utilized Boolean search to source candidates from various platforms (Monster, Dice, LinkedIn Recruiter, CareerBuilder, etc.)
  • Cold-called candidates to cross-reference experience against technical requirements and gathered pertinent personal details required for submittal
  • Negotiated salaries/hourly rates with candidates to meet client budgets
  • Submitted candidates to Business Development Managers by packaging personal details and creating an elevator pitch to sell candidates
Jul 2013 - Aug 2020

Post Production Supervisor

Burbank, California, US

  • Oversaw and managed entire post production workflow for assigned clients
  • Met each client’s deadlines for all projects and deliverables
  • Coordinated with clients to define project tasks and required resources
  • Scheduled, assembled and coordinated each project's staffing
  • Wrote work orders for in-house, technical staff to complete projects
  • Monitored and reported project progress to corresponding clients
Jan 2009 - Jun 2013

Post Production Coordinator

Burbank, California, US

  • Responsibilities similar to Supervisor position outlined above except clients weren't exclusively assigned (the Coordinator was a support role to the Supervisors)
  • Wrote work orders for in-house, technical staff to complete projects
  • Monitored and reported project progress to corresponding clients
  • Scheduled and assigned resources using Xytech software by Citrix
  • Clients serviced: HBO (Big Love, How to Make It in America, The Pacific, Hung), Showtime (United States of Tara), FX (Justified, Nip/Tuck, Terriers, It's Always Sunny in Philadelphia, Rescue Me), FOX (Glee, Lie to Me.
Jul 2008 - Jan 2009

Vault Librarian

Burbank, California, US

  • Responsible for logging in all tape and film elements, and distribution of elements to clients and coworkers
  • Basic knowledge of Xytech software by Citrix
Jul 2007 - Jul 2008
Team & coworkers

Colleagues at American Airlines

Other employees you can reach at aa.com. View company contacts for 56677 employees →

12 education records

Paul Lindquist education

Bachelor Of Fine Arts - Bfa

Carnegie Mellon University

Data Science

Flatiron School

Complete Data Science Bootcamp 2024

Udemy

Essentials Of Mlops With Azure 4: Spark Mlflow Models And Model Registry

Linkedin Learning

Essentials Of Mlops With Azure 3: Spark Mlflow Projects On Databricks

Linkedin Learning

Essentials Of Mlops With Azure 2: Databricks Mlflow And Mlflow Tracking

Linkedin Learning

Essentials Of Mlops With Azure 1: Introduction

Linkedin Learning

Artificial Intelligence And Business Strategy

Linkedin Learning

Responsible Ai: Principles And Practical Applications

Linkedin Learning

Generative Ai For Business Leaders

Linkedin Learning

Bi Dashboards With Tableau

Codecademy

Via Coursera, Getting Started With Python

University Of Michigan
FAQ

Frequently asked questions about Paul Lindquist

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

What company does Paul Lindquist work for?

Paul Lindquist works for American Airlines.

What is Paul Lindquist's role at American Airlines?

Paul Lindquist is listed as Hubble Squad Lead and Data Engineer - Airport Planning and Technology at American Airlines.

What is Paul Lindquist's email address?

AeroLeads has found 2 work email signals at @abacustechnical.com for Paul Lindquist at American Airlines.

Where is Paul Lindquist based?

Paul Lindquist is based in Dallas-Fort Worth Metroplex, United States, United States while working with American Airlines.

What companies has Paul Lindquist worked for?

Paul Lindquist has worked for American Airlines, Flatiron School, Vaco, Abacus Technical Services, and Encore Hollywood.

Who are Paul Lindquist's colleagues at American Airlines?

Paul Lindquist's colleagues at American Airlines include Lori Derstine, William (Bill) Bewley, Al Miller, Scott Mckenzie, and Matthew Place.

How can I contact Paul Lindquist?

You can use AeroLeads to view verified contact signals for Paul Lindquist at American Airlines, including work email, phone, and LinkedIn data when available.

What schools did Paul Lindquist attend?

Paul Lindquist holds Bachelor Of Fine Arts - Bfa from Carnegie Mellon University.

What skills is Paul Lindquist known for?

Paul Lindquist is listed with skills including Post Production, Television, Film, Leadership, Public Speaking, Management, Highly Personable, and Technical Recruiting.

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