Marcus Dudeque
@marcusdudeque
Data Engineer specializing in large-scale ETL/ELT pipelines with Databricks and PySpark across Azure and GCP.
BrazilWhat I'm looking for
In my work, I design, build, and maintain large-scale ETL/ELT pipelines with Databricks and PySpark across Azure and GCP, with 5+ years of experience. Databricks has been my core platform across multiple roles, where I’ve supported Business Intelligence, Data Science, and AI initiatives for high-volume transactional and analytical environments.
I’m trusted to deliver reliability and data quality at scale—such as managing 4,000+ pipelines—and I focus on practical improvements like Delta Lake migration to strengthen query performance. I enjoy collaborating with distributed teams, working remote-ready (GMT-3), and building pipelines and reporting workflows that turn data into on-demand, trustworthy decisions.
Experience
Work history, roles, and key accomplishments
Data Engineer
Digiage
Apr 2024 - Present (2 years 3 months)
Deliver data engineering services on-site at enterprise clients by building, monitoring, and maintaining production data pipelines. Perform data transformations using Databricks, PySpark, and Azure Data Factory.
Data Engineer
ClearSale
Feb 2023 - Oct 2023 (8 months)
Built and monitored Databricks (PySpark) pipelines for a large-scale environment supporting transactional and analytical workflows with high reliability and data quality. Contributed to a Delta Lake migration and processed event-driven data using Azure Stream Analytics for downstream analytics.
Data Engineer
YUR Inc.
Nov 2021 - Jan 2023 (1 year 2 months)
Architected and built the company data infrastructure from scratch on GCP using BigQuery, dbt, and Prefect. Implemented self-serve reporting and company-wide metrics using Google Analytics, Firebase, and Metabase.
Data Engineering Intern
Paraná Banco
Apr 2020 - Feb 2021 (10 months)
Built and maintained mission-critical ETL pipelines on Databricks (PySpark) processing millions of BRL daily with error risk mitigation. Delivered validated data to Data Science and Analytics using SQL, Python, PySpark, Pandas, Apache Airflow, and Pentaho.
Education
Degrees, certifications, and relevant coursework
Federal University of Paraná (UFPR)
Bachelor of Science, Computer Science
2017 - 2025
B.S. in Computer Science at the Federal University of Paraná (UFPR), covering foundational and advanced topics in computing.
Tech stack
Software and tools used professionally
Availability
Location
Brazil
ArgentinaJob categories
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