Data Engineer

From Raw Data to AI-Ready Infrastructure

About

Aline Oliveira

I’m a Data Engineering Lead helping companies build scalable data platforms for analytics and machine learning. With a strong delivery mindset, I lead data initiatives end to end, focusing on reliable architectures, fast execution, and cost-efficient systems.

5+ Years

Data Engineering

400+ Pipelines

Built & Deployed

60% Cost Reduction

Platform Optimization

Technical Stack

Data Engineering & Processing

  • Python
  • Apache Spark
  • Apache Airflow
  • Apache Kafka

Cloud & Infrastructure

  • AWS
  • Google Cloud
  • Snowflake
  • Terraform

DevOps & Analytics

  • Docker
  • Kubernetes
  • dbt
  • Tableau

Blog

Why Your First Data Engineer Shouldn’t Be a Full-Time Hire

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Leading MLOps Implementation: A Data Engineering Manager’s Quarterly Strategy

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How to Simplify Data Pipeline Deployment with CI/CD in Data Engineering

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The Key to Providing Business Value Through DataOps

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The Biggest Mistake I Made as a Data Engineer

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Bulk Jobs vs. Delta Jobs in Data Engineering: Choosing the Right Approach

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How to Easily Extract Salesforce Data Using PySpark in Python

Metrics for Data Engineering: Why, How, and Which Metrics to Track

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Enhancing Code Reusability with Python Packages in AWS Glue

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How to Configure the GlueJobOperator in Apache Airflow

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Reviews

"Aline was amazing to work with! She was able to jump right in and find the problem and resolve it fast and efficiently! Amazing Job! Thank you!"

D

Denis D.

CRO, Granularity

"I hired Aline for a data project (data engineering and modeling, pipeline architecture, and dashboards in Looker, BigQuery, Airflow, etc.) for one of the largest retailers in the world. She made a real difference to the project - not only through her hands-on technical work, but also through strong planning and product management skills, as well as direct, effective communication with the client. I fully recommend her and would hire her again anytime."

G

Georg B.

CTO, Buildaz

Connect

Looking for better data strategy or architecture? Let's connect and discuss how we can transform your data infrastructure.