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Marley B.
Data Engineer
Marley is a Data Engineer with over seven years of commercial experience. He has extensive experience in Python, Apache Spark, SQL and cloud technologies such as AWS and GCP.
He is a multi-certified Google and Databricks Data Engineer, having worked on such tools for the past five years. He is typically responsible for developing data pipelines, deploying and maintaining them. Besides, Marley has experience in data analysis, machine learning, natural language processing, web scraping, and creating data visualizations.
Marley is a very communicative person who enjoys collaborating with the larger Data team: BI, Data Scientists, PMs. Previously, Marley worked for companies such as McKinsey, Oracle, and Capgemini.
Main expertise
- Apache Kafka 3 years
- Apache Spark 5 years
- CSV 5 years
Other skills
- Java 2 years
Selected experience
Employment
Senior Data Engineer and Architect
McKinsey & Company - 1 year 11 months
Create and maintain data pipelines, extracting data from different ERPs, using Python, Snaplogic, and other tools, ingest in SQL server and Snowflake. Responsible for the Center of Competency for Snaplogic and development and maintenance of the Python scripts. Supervise and management of Junior Data Engineers.
Data&Solution Architect
Capgemini Engineering - 5 months
Design solutions for a huge variety of clients and industries, responsible for the architecture regarding tools, flows, resources and time planing. Development of assets, POCs and presentations.
Data Engineer&Analytics
Capgemini Engineering - 4 months
Data Engineer allocated to clients in Energy Utilities, Manufacturers and others industries. Responsible for ETL and data visualization.
Data Engineer
X-Testing - 4 years
Data Engineer allocated in external customers in Data projects, responsible to extract the Data and produce insights, reports and APIs to the customer team using Python, Spark, Cloud and other technologies and soft skills.
Cloud Sales
Oracle - 1 year 11 months
As part of Oracle Converged Infrastructure Group, responsible for Oracle infrastructure offerings including the company’s engineered systems, on premise, on cloud or both. Also help the company respond to customer demand for IaaS and PaaS.
Education
Standalone courseSpecialization in Python Programming
University of Michigan (US), Ann Arbor · 2021 - 2021
MSc.Applied Computing in Data Science
Universidade de Brasília · 2017 - 2019
BSc.Computer Science
Universidade Paulista · 2007 - 2012
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