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Cleber M.

Data Engineer

Cleber is an experienced and versatile Data Engineer with over six years of expertise in the data field. He demonstrates proficiency in various technologies and is committed to continuous learning and exploring new technologies to stay ahead of the curve.

Cleber excels in designing, implementing, and deploying reliable data products. He has a strong ability to collaborate with stakeholders to define business requirements and ensure effective data ingestion from external sources.

Additionally, he thrives in agile environments, promoting data-driven quality and quick iterations. Cleber is dedicated to staying updated with the latest technologies and trends in the field, showcasing his commitment to continuous learning and professional growth.

Main expertise
  • BigQuery
    BigQuery 2 years
  • Data Engineering 5 years
  • ETL
    ETL 4 years
Other skills
  • Docker
    Docker 4 years
  • MySQL
    MySQL 3 years
  • Machine Learning
    Machine Learning 2 years
Cleber
Cleber M.

Brazil

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Selected experience

Employment

  • Data Engineer

    FreshBooks - 2 years 2 months

    • Implemented a reliable and centralized single source of truth for users' and customers' data, ensuring daily refreshes and storage of historical changes.
    • Took charge of planning and building Python API integrations to ingest external data sources that were not supported by Fivetran. Implemented DBT transformation layers and conducted data quality testing to ensure the accuracy and reliability of the integrated data;
    • Transferred resource-intensive data transformations from Looker to dbt, resulting in optimized processes and reduced costs.

    Technologies:

    • Technologies:
    • BigQuery BigQuery
    • ETL ETL
    • Python Python
    • Apache Airflow Apache Airflow
    • Git Git
    • Docker Docker
    • Google Cloud Google Cloud
    • Data Modeling
    • dbt dbt
    • NoSQL
    • Terraform Terraform
  • Lead Data Engineer

    Pmweb / Oto CRM - 8 months

    • Took charge of refactoring a critical legacy pipeline, significantly improving its performance and scalability.
    • Designed and implemented a Python command line interface to streamline the data engineering team's preparation of new Oto CRM client infrastructures.
    • Strategized and executed the development of a Python API integration to ingest external data sources and enrich them with internal data from various sources.
    • Demonstrated strong skills in data warehousing, data quality, Git, data modeling, data ingestion, Apache Airflow, communication, problem-solving, data pipelines, NoSQL, ETL (Extract, Transform, Load), data governance, Python programming language, SQL, big data, team leadership, machine learning, and agile methodologies.

    Technologies:

    • Technologies:
    • BigQuery BigQuery
    • Data Engineering
    • Python Python
    • SQL SQL
    • Apache Airflow Apache Airflow
    • Git Git
    • MySQL MySQL
    • Machine Learning Machine Learning
    • Agile Agile
    • Data Modeling
    • NoSQL
  • Senior Business Intelligence Analyst

    Pmweb / Oto CRM - 2 years 5 months

    • Developed a customer identifier engine capable of identifying and assigning internal user identifiers to behavioral website, CRM, and omnichannel transactional data.
    • Restructured the RFM Ledger, a critical data pipeline that generates historical Recency, Frequency, and Monetary Value groupings for each customer based on custom rules.
    • Refactored MySQL queries and built new ones in ClickHouse to align with specific business requirements.
    • Created a Python reporting automation tool that automated data extraction from analytical tools and generated ready-to-use reporting files.
    • Demonstrated expertise in data warehousing, Git, data modeling, data ingestion, Apache Airflow, communication, problem-solving, data pipelines, NoSQL, ETL (Extract, Transform, Load), Python programming language, SQL, big data, machine learning, data analysis, and agile methodologies.

    Technologies:

    • Technologies:
    • BigQuery BigQuery
    • Data Engineering
    • ETL ETL
    • Python Python
    • SQL SQL
    • Apache Airflow Apache Airflow
    • Git Git
    • Machine Learning Machine Learning
    • Agile Agile
    • Data Modeling
    • NoSQL
  • Data analyst - Conversion Rate Optimization

    Pmweb, a Wunderman company - 1 year 1 month

    • Conducted A/B testing experiments, designing and analyzing experiments for clients with diverse key business requirements;
    • Utilized various tools such as Maxymiser, Google Optimize, Adobe Target, Hotjar heatmaps, Google Analytics, and Adobe Analytics to facilitate A/B testing processes;
    • Designed experiment frameworks, including hypothesis formulation, test group definition, sample size determination, and measurement metrics selection;
    • Collected and analyzed experiment data, applying statistical techniques to derive insights and make data-driven recommendations;
    • Demonstrated strong skills in communication, problem-solving, data analytics, Python programming language, SQL, Machine Learning, Data analysis, and Agile methodologies.

    Technologies:

    • Technologies:
    • Python Python
    • SQL SQL
    • Machine Learning Machine Learning
    • Agile Agile
    • Data Modeling

Education

  • MSc.MBA - Data Engineering

    FIAP · 2021 - 2022

  • MSc.MBA Business Analytics

    Federal University of Rio Grande do Sul · 2018 - 2019

  • Standalone courseNanoDegree - Data Analytics

    Udacity · 2017 - 2018

  • Standalone courseNanoDegree - Predictive Analytics for Business

    Udacity · 2017 - 2018

  • BSc.Advertising and Marketing

    Unisinos · 2013 - 2017

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