Pitt Fagan

AI Researcher

Dublin, County Dublin, Ireland26 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 20 years of experience in data analytics.
Expertise in big data engineering and data science.
Organizer of Big Data and Data Science meetup in Madison.

Stackforce AI infers this person is a Big Data and Data Science expert with extensive experience in data engineering and analytics.

Contact

Skills

Core Skills

Data ScienceFinancial ModelingData AnalysisData EngineeringData AnalyticsBig DataData CollaborationRecommendation SystemsDatabase DevelopmentEtl Processes

Other Skills

MySQLJavaScriptPythonPostgreSQLWeb DevelopmentSQLSoftware DevelopmentHadoopData WarehousingApache SparkScalaData MigrationMicrosoft SQL ServerData MiningData Modeling

About

I have been working in all phases of the data analytics process since 1999, focusing largely on databases (warehousing), ETL pipelines and data science. I have experience with multiple relational and NoSQL databases, and working with Hadoop and related technologies in the Big Data ecosystem. I really enjoy digging deep into datasets to really understand them, synthesizing complementary data and demonstrating interesting/useful nuggets of analysis. My lengthy experience as a project manager using Agile methodology to organize/run teams of software developers has given me good insight into collaboration and getting work done. I have a keen interest in big data engineering and data science, and organize the Big Data and Data Science meetup in Madison, WI - http://www.meetup.com/BigDataMadison On a personal note, I am a proud New Jersey native who knows why the state nickname is the "Garden State". I have resided in many parts of the US as an adult and am keen to live overseas one day. I have dual citizenship with the USA and Ireland so the EU is a likely destination. I love traveling, and keep a constantly rotating mental list of in head of all the countries I hope to visit one day. I am an enthusiastic gardener and cook.

Experience

26 yrs 9 mos

Total Experience

5 yrs 4 mos

Average Tenure

9 yrs 3 mos

Current Experience

Zendesk

5 roles

Senior Staff Data Scientist

Promoted

Mar 2026 – Present · 2 mos

Staff Data Scientist

Oct 2022 – Mar 2026 · 3 yrs 5 mos

As a Staff Data Scientist in the Engineering org at Zendesk I focus on FinOps, which is financial modeling of resource spend and operations in a multi-cloud environment.

Data ScienceFinancial Modeling

Senior Data Scientist, Engineering

Promoted

Jan 2021 – Oct 2022 · 1 yr 9 mos

As a Senior Data Scientist in the Engineering org at Zendesk I focus on FinOps, which is financial modeling of resource spend and operations in a multi-cloud environment.

Data ScienceFinancial Modeling

Data Scientist, Enterprise Data and Analytics

Feb 2018 – Jan 2021 · 2 yrs 11 mos

As a Data Scientist with the Enterprise Data and Analytics team at Zendesk I will be focused on end-to-end data science projects, creating and productionalizing models for the company, and working with business partners to deliver the most impactful analyses across the business.

Data ScienceData Analysis

Senior Data Analyst

Feb 2017 – Feb 2018 · 1 yr

As a Senior Data Analyst at Zendesk my responsibilities span data engineering and data analytics. As Zendesk embraces a data driven culture, the need to build and populate a data warehouse has increased importance. I have been involved in the process to create pipelines and automate legacy processes to push data to the data warehouse.
On the data analytics side I have performed traditional statistical analyses on datasets and synthesized data from disparate sources to create predictive models for departments around the company. I have also proposed and performed strategic data science projects to advance company goals.
I also provide technical mentorship and leadership to the team of analysts working with me.

Data EngineeringData Analytics

Beekeeper data

Co-founder

Jun 2014 – Nov 2014 · 5 mos · Greater Madison Area

Beekeeper allows companies to make smarter decisions with their vast amounts of data. For companies that use Hadoop, Beekeeper’s licensed collaborative software platform democratizes data analytics in the same way that Github has democratized software engineering. By working together collaboratively on Beekeeper, organizations with large amounts of high volume and unstructured data can make more informed decisions and reduce costs.

Data EngineeringBig Data

Bigdatamadison meetup

Organizer

Feb 2013 – Jul 2022 · 9 yrs 5 mos · Greater Madison Area

I am the organizer of the BigDataMadison meetup.
BigDataMadison promotes the understanding and adoption of technologies used to acquire, store, and analyze the tsunami of data created by social media interactions, mobile devices, website clickstreams, retail transactions, computer log files, embedded processors, and sensors.
We will focus on some of the technologies used in the Big Data ecosystem (Hadoop, MapReduce, Spark, streaming data and data processing, NoSQL databases, etc), as well as issues in Data Science (machine learning, data visualization, analytics and more). We will try to balance the topics between technology talks, use cases, and demos.

Data EngineeringData Analytics

Styleshuffler

Co-founder

May 2011 – Aug 2012 · 1 yr 3 mos · Greater Madison Area

The idea for the StyleShuffler product grew from a simple question – can the concept behind Pandora be applied to clothing? Pandora’s music genome project uses multiple attributes to define songs and a complex mathematical algorithm to cluster them, in order to better recommend music to the listener. StyleShuffler uses a similar approach, but is aimed at the online shopper.
Won the 2011 Elevator Pitch Olympics and finalist for the 2012 WI Governor's Business Plan Competition

Data AnalyticsData Collaboration

Earthling interactive

Vice President of Data Engineering

Jan 2004 – Feb 2017 · 13 yrs 1 mo · Greater Madison Area

Working on a wide variety of projects accessing disparate data stores (Relational, NoSQL, Hadoop). This includes database modeling, data warehouse design, big data engineering (ETL), development of BI tools/metrics and other data analysis.
My favorite development languages are Python, SQL and Scala, and I am doing alot of work in Apache Spark.
I have managed software development teams, including remote personnel, for the past six years.
As a member of the company leadership group, I collaborate on business development, management and operations.

Big DataData Science

Copestone resources

Principal Database Engineer

Jul 2000 – Jan 2004 · 3 yrs 6 mos · Greater Tucson Area

Helped architect a database repository with multiple ETL processes to automate real-time data collection (PostgreSQL, Java)
Created web reports and export processes (Python)
Created testing processes for production software in a distributed environment.

Data AnalyticsRecommendation Systems