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
    Apache Kafka 3 years
  • Apache Spark
    Apache Spark 5 years
  • CSV 5 years

Other skills

  • Dataiku DataOps
    Dataiku DataOps 2 years
Marley

Marley B.

Portugal

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Selected experience

Employment

  • Lead Data Engineer

    Proxify - MyEdSpace - 1 year

    • Led a high-performing data team of 4 professionals, including 1 data engineer and 3 data analysts, providing strategic direction and mentorship.
    • Supervised and managed team workflows, ensuring timely delivery of high-quality data solutions.
    • Designed and implemented scalable data architecture to support BI and analytics needs.
    • Oversaw the development of automated, reliable data extraction pipelines.
    • Led the successful migration of critical data assets from MySQL to Google BigQuery, enhancing performance and reducing costs.

    Technologies:

    • Technologies:
    • Python Python
    • SQL SQL
    • Google Cloud Google Cloud
    • BigQuery BigQuery

  • 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.

    Technologies:

    • Technologies:
    • dbt dbt

  • 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.

    Technologies:

    • Technologies:
    • dbt dbt

  • 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).

    Technologies:

    • Technologies:
    • Oracle Oracle

  • Solution Architect

    CTIS Tecnologia - 8 months

    • Developed and maintained in-depth knowledge of Oracle Systems product offerings, sales programs, strategic initiatives, and competitors in the North and Northwest regions of Brazil.
    • Established and nurtured strong relationships with the sales team by providing consultative sales support and guiding account managers through Oracle Systems technology.
    • Collaborated with cross-functional sales teams across the organization to close deals and achieve sales targets.

    Technologies:

    • Technologies:
    • Oracle Oracle

  • Business Analyst Intern

    IBM - 11 months

    • Assisted in gathering and analyzing business requirements to support data-driven decision-making.
    • Collaborated with cross-functional teams to identify process improvements and support project planning.
    • Documented business processes, workflows, and stakeholder needs to inform system enhancements.

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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