Kevin Gould, Developer in Chicago, IL, United States
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Kevin Gould

Verified Expert  in Engineering

Data Engineer and Developer

Location
Chicago, IL, United States
Toptal Member Since
September 26, 2022

Kevin is an experienced IT, analytics, and data engineering professional whose programmatic skill set includes zero-to-one data products, ETL, analysis, and infrastructure. He is a data analysis advocate, passionate about helping teams use data effectively and switch their focus to less repetitive tasks. Kevin has a track record of creating value-added services for organizations wishing to capitalize on their data, identify and ingest new information, and progress on their missions.

Portfolio

MURAL
Amazon Web Services (AWS), Python, Analytics, ETL, Databricks, Apache Airflow...
Self-employed
SQL, Python, Amazon Web Services (AWS), Business Intelligence (BI)...
FourKites
Salesforce, Python, SQL, Dashboards, Apache Airflow, Performance Optimization

Experience

Availability

Part-time

Preferred Environment

IntelliJ IDEA, Python, MacOS, Linux, PostgreSQL

The most amazing...

...(helpful) thing I've built is a Flask app that allows business users to email themselves and their customers Excel reports. Sometimes, it's the little things.

Work Experience

Senior Data Platform Engineer

2021 - PRESENT
MURAL
  • Increased data processing pipelines' reliability, fault tolerance, and transparency by migrating an entire suite of ETL processes from Tray, a low-code tool, to Apache Airflow, an open-source orchestration platform.
  • Wrote a suite of ETL processes, connecting GTM systems and other third-party tools to MURAL's production application databases like MongoDB, Redshift, and Amazon S3. This improvement gave the data ecosystem a source of truth.
  • Built a highly performant SQL system, transforming raw data layers into optimized and fully joined analytical layers that improved dashboards and reporting tasks.
Technologies: Amazon Web Services (AWS), Python, Analytics, ETL, Databricks, Apache Airflow, Data Build Tool (dbt), PySpark, MongoDB, Apache Spark, Spark, Performance Optimization

Financial Business Intelligence Engineer

2021 - PRESENT
Self-employed
  • Analyzed, built, and transferred core financial reporting modules for a client's cloud data lake, writing highly performant and reliable pipelines using Python, SQL, dbt, Terraform, and other tools.
  • Documented and advised on best practices for analytical data layers.
  • Improved, by a factor of ten, the efficiency of the monthly close process for a financial planning and analysis team, reducing the overall time spent and increasing the reliability and accuracy of inventory, profitability, and accounting metrics.
Technologies: SQL, Python, Amazon Web Services (AWS), Business Intelligence (BI), Apache Airflow, Data Build Tool (dbt), Performance Optimization

Business and Strategy Analyst

2017 - 2021
FourKites
  • Contributed to the self-service reporting application, enabling internal teams to run pre-built queries and generate results in highly professional Excel reports.
  • Maintained and improved ETL and reverse ETL processes between GTM and CRM systems and the productive relational database.
  • Enriched Salesforce with application data, improving the operations team's interaction with customer data insights.
  • Designed and led the weekly "Learn SQL" class for anyone in the company to join. This course allowed numerous employees to increase their contributions and excel in their tech careers.
Technologies: Salesforce, Python, SQL, Dashboards, Apache Airflow, Performance Optimization

Data Visualization Application

I built a data application that shows users how to employ an API to retrieve, transform, and visualize data locally on their machines. The application was developed in Python using Flask, Apache Airflow, Superset, and AWS Lambda architecture.

Languages

Python, SQL, Python 3

Tools

Apache Airflow, IntelliJ IDEA

Storage

PostgreSQL, MongoDB

Other

Analytics, Data Engineering, Dashboards, Data Build Tool (dbt), Performance Optimization, Economics, Statistics, Probability Theory, Financial Data, Clustering, Data Visualization, Computer Engineering

Libraries/APIs

PySpark, Pandas

Paradigms

ETL, Business Intelligence (BI), Data Science

Platforms

Databricks, MacOS, Linux, Docker, Kubernetes, Amazon Web Services (AWS), Salesforce

Frameworks

Apache Spark, Spark

2014 - 2018

Bachelor's Degree in Economics

The College of Wooster - Wooster, OH, USA

JULY 2022 - PRESENT

Executive Certificate in Computer Engineering Fundamentals

Massachusetts Institute of Technology

JULY 2022 - PRESENT

Data Engineer Associate

Databricks

JUNE 2022 - PRESENT

Docker and Kubernetes

Udemy

OCTOBER 2021 - PRESENT

AWS Certified Cloud Practitioner

Amazon Web Services

SEPTEMBER 2020 - PRESENT

IBM Data Science Specialization

Coursera

Collaboration That Works

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