Matthew Greene Email & Phone Number

Los Angeles, Ca, Us

Los Gatos, Ca, Us

Data Engineer on the Membership and Finance Data Engineering team at Netflix

Seattle, Wa, Us

L5 Data Engineer on the Advertising Economics team within the Global Media Advertising and Corporate Development group in Finance Global Business Solutions organization.Leading end-to-end development/design of large-scale data pipelines that ingest data from multiple source systems. The end goal is to create a vectorized dataset used for model training across all Amazon Ad Products.

Seattle, Wa, Us

L4 Data Engineer on the Advertising Economics team within the Global Media Advertising and Corporate Development group in Finance Global Business Solutions organization.Leading end-to-end development/design of large-scale data pipelines that ingest data from multiple source systems. The end goal is to create a vectorized dataset used for model training.

El Segundo, Ca, Us

Managing and leading a team of contractors to implement data mesh through various features:--> Unwinding data pipelines that typically rely on on-premises data marts back to their original source--> Using Apache Kafka hosted on a Cloud Platform to capture data, real-time, as a replacement to on-premises data marts--> Utilizing Cloud Storage Systems such as AWS S3 and Azure ADLSG2 as an intermediary storage layer for source data, which is synchronized through Kafka's messaging service.--> Databricks is then used as a data cleaning and processing tool between Cloud Storage Systems and Snowflake--> Data Products are then built on Snowflake and are implemented through data mesh principles--> Snowflake is then used as the final data mart for business users and other clients to satisfy consumer data needs.

Dallas, Tx, Us

--Data Analyst Role on a team building a Subscription Business Ready Dataset. My work usually revolves around data analysis, data discovery, and data validation. --Data Engineering/Data Platform Design Role on a Global Supply Chain Spend project where we are building business-ready datasets on Data Lakes and Cloud Data Platforms. I am either helping with cloud data ingestion and data transformation or data platform design, which involves data discovery, high-level design mock-ups, and technical specifications. --Data Engineering role on another team where I have built a cloud data pipeline that resulted in a Field Operations business ready dataset. Future work will involve further iterations to this pipeline, which will involve more data ingestion and transformations. -- Data Engineering role on HBO Max BRD Cloud Data Pipeline development. In design and discovery phase.

Dallas, Tx, Us

18-month rotation with usually 3 projects that are 6 months each.My first project is on the Rapid Insights and Video Marketing team. I am being exposed to the ETL (extract-transform-load) process where my tasks (user stories) usually revolve around doing data validation and data analysis on tables that are being built and revised to create business-ready datasets (BRDs). 3-months into the project and I am starting to work on the developing of these business-ready datasets by extracting, transforming, and loading data.Also, I am using python within a jupyter notebook to run statistical analysis on the datasets.My second round projects still revolve around the ETL process, but now I’m building cloud based data pipelines. Mostly doing data engineering work, from data ingestion on a cloud based platform, to data transformations on said ingested data, to ultimately building a Business Ready Dataset. — The whole cloud data pipeline building process was done in python. The backend of the data platform of which this data pipeline was built was spark hosted on Microsoft Azure. So, I worked primarily in pyspark with some Spark-SQL in the mix. — I have built 2 data pipelines on this data platform. Both in mainly pyspark.

New Haven, Ct, Us

Major in Computer Science and Psychology

New Haven, Ct, Us

Office Assistant in Capital Management for data entry and follow up related to contractors working on Yale Capital Program projects.

Bethesda, Maryland, Us

● Selected as one of 350 for an 18-month professional development program for high-achieving diverse talent● Complete business case studies and projects to hone analytical, quantitative and communication skills● Participate in four professional development conferences hosted by industry leaders, such as Deloitte, Google, Goldman Sachs, Procter & Gamble and Target

Bristol, Ct, Us

● Conducted extensive research on ways to automate my team’s processes via Natural Language Processing, which concluded with me giving 2 presentations to my broader department (sales and marketing) on ways that NLP can help increase efficiency. ● Created an MVP for a chatbot that would service basic insight requests from sales and marketing.● Developed an idea, which uses Natural Language Processing, and participated in "The Pitch" competition where ESPN interns would compete in teams of up to 4 and "pitch" their idea to a board of representatives.

Baltimore, Maryland, Us

● Collaborated with the Wear-Testing team to develop an interactive website for employees and UA Athletes.● Utilized Adobe InDesign, Brackets and Photoshop to develop a platform that allows correspondence, product design, feedback capabilities and data analysis.● Developed project management skills by working with Qualtrics to improve on web design capabilities of Under Armour’s website, and was exposed to the product development process.

New York, New York, Us

● One of 150 from over 1700 applicants to learn about the variety of services offered at the firm● Participated in a case study for a local company for how to improve their growing company from an e-commerce perspective

Basking Ridge, Nj, Us

● Developed prototype models for upcoming device launches using Microsoft Office Suite, resulting in more appealing device profiles.● Collaborated on an internship project where we helped revamp Verizon's website to make it more appealing to the average consumer.

Basking Ridge, Nj, Us

● Conducted mobile application user experience research to analyze Verizon's consumer appeal, resulting in development of an app tool, launched in 2015.● Conducted Millennial research to support business development insights for the Internet Sales and Operations team.

● I was an intern at a minority Broker Dealer in Manhattan in the summer of 2013. ● I helped out the other interns and employees with day to day tasks in the life of a Broker Dealer.● I also participated in many meetings, which discussed new ideas to generate revenue for the company.

● Co-created the gaming category of the organization’s website, in support of attracting the millennial generation, resulting in more web traffic.● Conducted extensive gaming-applications analytical research and presented findings to management, which helped develop and strengthen website gamification.

Bachelor’S Degree, Computer Science And Psychology

Full Stack Web Development Certification, Computer Software Engineering

Economics

High School Diploma

Computer Science