Matheus H.

Senior Data Engineer

Matheus is a highly skilled Senior Data Engineer with an impressive seven years of commercial experience in the field.

With a strong focus on ETL (Extract, Transform, Load) solutions for Data Warehousing and Data Lakes, Matheus is a go-to expert in architecting and developing data pipelines.

His analytical profile is complemented by a keen business acumen, enabling him to bridge the gap between technical intricacies and business objectives effectively.

Beyond his technical prowess, Matheus excels as a tech lead, demonstrating his ability to provide guidance.

He possesses exceptional communication skills, allowing him to convey complex technical concepts to non-technical stakeholders facilitating informed decision-making.

Main expertise
  • AWS
    AWS 7 years
  • Data Engineering 7 years
  • Apache Kafka
    Apache Kafka 3 years
Other skills
  • Team leading 1 years
Matheus
Matheus H.

Brazil

Book Matheus H.

Selected experience

Employment

  • Senior Data Engineer

    ZeroHash - 1 year 11 months

    • Responsible for End of Month Billing Cycles and Invoicing Pipelines;

    • Streamed Pipelines using Kafka and Spark for real-time trade processing;

    • Creation of a self-service Data Analytics platform for Marketing, Finance, and Product;

    • Databricks implementation and pipeline migration;

    Technologies:

    • Technologies:
    • AWS AWS
    • Data Engineering
    • Apache Kafka Apache Kafka
    • Python Python
    • Apache Spark Apache Spark
    • MongoDB MongoDB
    • Apache Airflow Apache Airflow
    • SQL SQL
    • PostgreSQL PostgreSQL
    • NoSQL
    • Scrum Scrum
    • Agile Agile
    • Jira Jira
    • Databricks Databricks
  • Senior Data Engineer

    Homelight - 10 months

    • Airflow Pipelines for extracting, transforming, and loading data of US real estate listings- Kafka Pipeline for real-time listing updates;

    • Airflow 2.0 Migration;

    • Sitemaps generation for real-time updates in the Google Search Engine;

    Technologies:

    • Technologies:
    • AWS AWS
    • Data Engineering
    • Apache Kafka Apache Kafka
    • Python Python
    • MongoDB MongoDB
    • Apache Airflow Apache Airflow
    • SQL SQL
    • PostgreSQL PostgreSQL
    • NoSQL
    • Scrum Scrum
    • Agile Agile
    • Jira Jira
    • Databricks Databricks
  • Data Engineering Tech Lead

    Jota Jornalismo - 10 months

    • Technical Leadership of Data Engineering and Data Science teams - supporting both business and technical interfaces, mentorship, and coaching;

    • Responsible for Data Engineering and Data Science Roadmap and Quarterly Deliverables;

    • Creation of Data Architecture and deployment of Data Engineering Tools (DB, Spark, Airflow, MLFlow);

    • DataOps functions: Cluster maintenance, deployment and scaling;

    Technologies:

    • Technologies:
    • AWS AWS
    • Data Engineering
    • Python Python
    • Apache Spark Apache Spark
    • MongoDB MongoDB
    • Apache Airflow Apache Airflow
    • SQL SQL
    • PostgreSQL PostgreSQL
    • Team leading
    • Scrum Scrum
    • Agile Agile
    • Jira Jira
  • Data Engineer

    Embraer S.A - 3 years 10 months

    • Creation of a Data Warehouse for Quality Issues;

    • Development of Executive Aircraft Field Removals - NoSQL Database (MongoDB);

    • Cost of Poor Quality ETL and data analysis for cost reduction opportunities and decision-making;

    Technologies:

    • Technologies:
    • Data Engineering
    • Python Python
    • MongoDB MongoDB
    • SQL SQL
    • NoSQL
    • MySQL MySQL
    • Scrum Scrum
    • Agile Agile
    • Jira Jira

Education

  • Standalone courseNanodegree in Data Engineering

    Udacity · 2020 - 2020

  • MSc.Computer Systems Networking and Telecommunications

    Instituto Tecnológico de Aeronáutica · 2015 - 2018

  • BSc.Mechanical Engineering

    Universidade Federal de Minas Gerais · 2009 - 2014

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