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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 Spark 5 years
- ETL 8 years
- Python 6 years
Other skills
- CSV 5 years
- Apache Kafka 3 years
- Informatica 3 years
Selected experience
Employment
Senior Data Engineer and Architect
McKinsey & Company - 1 year 11 months
- Created and maintained data pipelines, extracting data from various ERPs using Python, SnapLogic, and other tools.
- Ingested data into SQL Server and Snowflake for processing and analysis.
- Held responsibility for the Center of Competency for SnapLogic, overseeing best practices and standards.
- Developed and maintained Python scripts to support data engineering workflows.
- Supervised and managed junior data engineers, providing guidance and support in their tasks and development.
Data&Solution Architect
Capgemini Engineering - 5 months
- Designed solutions for a wide range of clients and industries.
- Took responsibility for architecture decisions, including tools, workflows, resource allocation, and time planning.
- Developed assets, proof of concepts (POCs), and presentations to support client engagements and internal initiatives.
Data Engineer&Analytics
Capgemini Engineering - 4 months
- Worked as a Data Engineer allocated to clients in the energy utilities, manufacturing, and other industries.
- Was responsible for designing and implementing ETL processes.
- Created data visualizations to support data-driven decision-making for clients.
Data Engineer
X-Testing - 4 years
- Worked as a Data Engineer allocated to external customers on various data projects.
- Extracted data and generated insights, reports, and APIs for customer teams.
- Utilized technologies such as Python, Spark, and cloud platforms to deliver effective solutions.
- Applied strong soft skills to collaborate with stakeholders and ensure project success.
Cloud Sales
Oracle - 1 year 11 months
- Was part of the Oracle Converged Infrastructure Group, responsible for Oracle infrastructure offerings, including engineered systems deployed on-premise, in the cloud, or in hybrid environments.
- Supported the company's efforts to respond to customer demand for Infrastructure as a Service (IaaS) and Platform as a Service (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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