Dan Spohn Email & Phone Number
@adwerx.com
1 phone found area 855
LinkedIn matched
Who is Dan Spohn? Overview
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Dan Spohn is listed as Analytics Engineering and Data Science | SQL, dbt, Snowflake, Redshift, Tableau, Python, Apache Airflow at RxBenefits, Inc., based in Chapel Hill, North Carolina, United States. AeroLeads shows a work email signal at adwerx.com, phone signal with area code 855, and a matched LinkedIn profile for Dan Spohn.
Dan Spohn previously worked as Staff Analytics Engineer - Analytics Engineering at Rxbenefits, Inc. and Director - Data Science, Data Engineering, and Analytics at Adwerx. Dan Spohn holds Master Of Science - Ms, Bioinformatics from Brandeis University.
Email format at RxBenefits, Inc.
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AeroLeads found 1 current-domain work email signal for Dan Spohn. Compare company email patterns before reaching out.
About Dan Spohn
I have 18 years of experience in data warehousing, data transformation, ETL, predictive analytics, and data visualization.Interests: Bioinformatics, Biology, Next Generation Sequencing, Disease ResearchSpecialties: Data Science, Machine Learning, Data Analysis and Analytics, Massively Parallel Processing Databases, Business Intelligence, Database Development, Data Warehousing, Database Reporting and Dashboards, AWS, and Linux
Listed skills include Microsoft Sql Server, Ssis, Sql, Databases, and 45 others.
Dan Spohn's current company
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Dan Spohn work experience
A career timeline built from the work history available for this profile.
Director - Data Science, Data Engineering, And Analytics
- Built Analytics Data Warehouse-- Sources: MySQL, Salesforce-- Tools & Systems: Redshift, DBT (data build tool), Python, FlyData, Airflow, Airbyte, Tableau Prep Flows- ETL / ELT-- Wrote custom Airflow Operators and Hooks to pull data, and interact with REST APIs.-- Wrote over 400 DBT models to transform data in the Data Warehouse-- Implemented DBT (cli).
Big Data Engineer
Chief Analytics Officer
CompanionLabs was an early-stage start-up.-Built and managed a data pipeline that processes roughly 250,000 incoming files per day.--The Data Pipeline consists of the following tools: Streamsets, Apache Spark, Python, Amazon S3, Amazon Athena, PostgreSQL, Amazon EC2, and Amazon EC2 Container Service (Docker)-Built Amazon S3-based data warehouse that.
Senior Marketing Data Scientist
SolarCity was acquired by Tesla in Nov 2016 and is now a part of Tesla Energy.-Managed analysts and served as project lead on key projects.Projects:-A Key Member of the team building an internal Marketing Data Management Platform (DMP)--Connecting numerous data points across the consumer journey such as:----Billions of Website Display Ad.
Data Science Consultant
As a consultant, I completed the following projects:-Built Predictive Models to optimize Call Center Operations, along with supporting reporting to understand the impact and lift of the models.-Performed Exploratory Data Analyses to understand Business Opportunities for Clients.-Built Database Systems, and ETL processes and loaded data for Data.
Data Scientist
Knotice was a startup that was acquired by IgnitionOne in 2014.-Conducted Exploratory Data Analyses on client data to uncover customer-centric marketing opportunities.-Digital Marketing Response Modeling using R, MADlib, and SQL. I created digital marketing engagement models to predict customer response in different marketing channels. These models.
Business Intelligence Developer
Using the following technologies to create dashboards, cubes (OLAP), and reports for analysts and technicians:MS SQL Server 2000, 2005 (Database).MS Integration Services 2005 (ETL).MS Analysis Services 2005 (OLAP).MS Reporting Services 2005 (Reporting).
Web Developer
Develop useful and interesting websites. Some technologies used in development are PHP, MySQL, Linux, Apache, AJAX, javascript, CSS, XML, and APIs.Some of the sites are listed below:http://www.joggermaps.com/http://www.us-city-home.com/http://www.citystatelocal.us/http://www.tsqltutorials.com/http://www.freessisdocumenter.com/http://www.findsomearticles.com/
Database Programmer
T-SQL programming.SQL Server Reporting Services Development.SQL Server Integration Services Development.Pharmacy Plan and Medicare Part D Reporting.
Web Application Developer
Linux, Apache, PHP, HTML and MySQL web applications.Contributed to the design and development of applications in areas such as:Shopping Cart Application,Document Management System, Time Management System, and a Content Management System.
Dan Spohn education
Master Of Science - Ms, Bioinformatics
Certificate, Data Science, Data Science
Master Of Science, Computing And Information Systems
Bachelor Of Business Administration, Computer Information Systems
Biology, General
Nanodegree, Data Analyst
High School Diploma
Frequently asked questions about Dan Spohn
Quick answers generated from the profile data available on this page.
What company does Dan Spohn work for?
Dan Spohn works for RxBenefits, Inc..
What is Dan Spohn's role at RxBenefits, Inc.?
Dan Spohn is listed as Analytics Engineering and Data Science | SQL, dbt, Snowflake, Redshift, Tableau, Python, Apache Airflow at RxBenefits, Inc..
What is Dan Spohn's email address?
AeroLeads has found 1 work email signal at @adwerx.com for Dan Spohn at RxBenefits, Inc..
What is Dan Spohn's phone number?
AeroLeads has found 1 phone signal(s) with area code 855 for Dan Spohn at RxBenefits, Inc..
Where is Dan Spohn based?
Dan Spohn is based in Chapel Hill, North Carolina, United States while working with RxBenefits, Inc..
What companies has Dan Spohn worked for?
Dan Spohn has worked for Rxbenefits, Inc., Adwerx, Lenovo, Companionlabs, and Solarcity.
How can I contact Dan Spohn?
You can use AeroLeads to view verified contact signals for Dan Spohn at RxBenefits, Inc., including work email, phone, and LinkedIn data when available.
What schools did Dan Spohn attend?
Dan Spohn holds Master Of Science - Ms, Bioinformatics from Brandeis University.
What skills is Dan Spohn known for?
Dan Spohn is listed with skills including Microsoft Sql Server, Ssis, Sql, Databases, Etl, Ssrs, Business Intelligence, and Data Analysis.
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