Senior Data Engineer
Data Engineer
Available for hire
Years of
experience
5+ years
Experience
level
Senior
Available
for
Full-time
Available from
23 Apr 2026
Data Engineer with hands-on experience building and optimizing scalable data pipelines in cloud environments, especially using Azure, Databricks, Spark, and SQL.
I specialize in processing large datasets, developing ETL workflows, and implementing data quality checks to support business intelligence and analytics teams.
Skilled in:
Databricks (Delta Lake, PySpark, Notebooks)
Azure Data Lake Storage, Azure SQL, Azure Data Factory
Python (pandas, PySpark), SQL (T-SQL, SparkSQL)
Data modeling (Star Schema, Lakehouse), performance optimization
Currently based in Brazil, fully available for remote positions worldwide. Open to collaborating with global teams and contributing to data-driven decision making.
Skills
Languages
Employment History
Data Engineer at
NTT Data Europe & LATAM
Current
2025
-
Now
Allocated to one of largest private banks in Brazil, contributed to the development and maintenance of data pipelines in a highly critical corporate environment.
Collaborated with technical teams and business stakeholders to understand requirements, support analyses, and continuously improve data processes.
Data Engineer at
dentsu
2023
-
2025
creating Databricks pipelines with pyspark and making data available for internal data users, such as data analysts and business.
rebuilding existing pipelines implementing new Databricks features (Unity Catalog, Delta Tables)
Data Engineer at
Vivo (Telefónica S.A)
2022
-
2023
Integrated a support team for big data environment (5 PB) for the biggest Telecom company in Brazil, ensuring PySpark pipelines within Big Data Environment (Hadoop, Spark, Hive) were successfully executed
My routine involved automating internal processes for fixing gaps in the pipelines, mostly using Shell and Python
Education
Bachelor of Computer Engineering at
Universidade Anhembi Morumbi
Current
2020
-
Now