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I am Fernando D’Alberto Pires, a remote Data & Big Data Engineer with 10+ years of experience leading cloud migrations and building scalable data pipelines across AWS and Azure. I specialize in medallion lakehouse architectures on Databricks, optimizing ETL with PySpark, and enabling advanced analytics and machine learning. I thrive on collaborating with distributed teams across Europe and the Americas in agile environments, delivering high-quality releases and continuous improvements through DevOps practices using Slack, Zoom, Jenkins, Docker, and Terraform.…I am Fernando D’Alberto Pires, a remote Data & Big Data Engineer with 10+ years of experience leading cloud migrations and building scalable data pipelines across AWS and Azure. I specialize in medallion lakehouse architectures on Databricks, optimizing ETL with PySpark, and enabling advanced analytics and machine learning. I thrive on collaborating with distributed teams across Europe and the Americas in agile environments, delivering high-quality releases and continuous improvements through DevOps practices using Slack, Zoom, Jenkins, Docker, and Terraform.

Fernando D’Alberto Pires

Data Scientist, Data Analyst, Full Stack Developer, +2

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I am Fernando D’Alberto Pires, a remote Data & Big Data Engineer with 10+ years of experience leading cloud migrations and building scalable data pipelines across AWS and Azure. I specialize in medallion lakehouse architectures on Databricks, optimizing ETL with PySpark, and enabling advanced analytics and machine learning. I thrive on collaborating with distributed teams across Europe and the Americas in agile environments, delivering high-quality releases and continuous improvements through DevOps practices using Slack, Zoom, Jenkins, Docker, and Terraform.…I am Fernando D’Alberto Pires, a remote Data & Big Data Engineer with 10+ years of experience leading cloud migrations and building scalable data pipelines across AWS and Azure. I specialize in medallion lakehouse architectures on Databricks, optimizing ETL with PySpark, and enabling advanced analytics and machine learning. I thrive on collaborating with distributed teams across Europe and the Americas in agile environments, delivering high-quality releases and continuous improvements through DevOps practices using Slack, Zoom, Jenkins, Docker, and Terraform.

Available to hire

I am Fernando D’Alberto Pires, a remote Data & Big Data Engineer with 10+ years of experience leading cloud migrations and building scalable data pipelines across AWS and Azure. I specialize in medallion lakehouse architectures on Databricks, optimizing ETL with PySpark, and enabling advanced analytics and machine learning.

I thrive on collaborating with distributed teams across Europe and the Americas in agile environments, delivering high-quality releases and continuous improvements through DevOps practices using Slack, Zoom, Jenkins, Docker, and Terraform.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Portuguese

Fluent

English

Fluent

Spanish; Castilian

Fluent

Work Experience

Big Data Engineer (Remote) at VF Corporation

January 1, 2025 - November 10, 2025

Led migration of enterprise data lake from AWS to Databricks on Azure, ensuring seamless transition of data pipelines, storage, and governance frameworks. Architected a medallion data lakehouse (Bronze, Silver, Gold) using Delta Lake and Unity Catalog to enable scalable, governed data pipelines for analytics and ML. Collaborated with distributed teams across Europe and the Americas in agile sprints.

Lead Big Data Engineer – AWS (Remote) at VF Corporation

January 1, 2025 - January 1, 2025

Created unified analytics data flows for all EMEA brands, integrating data from Salesforce, Google BigQuery, SAP, Loyalty programs, etc. Designed data structures for diverse use cases and optimized architectures using serverless AWS services (AWS Glue, Lambda). Developed PySpark ETL processes for large datasets and complex stored procedures for business dashboards. Built a data-science-oriented datalake to improve data quantity and quality for ML models. Led DevOps adoption with Jenkins, Docker and Terraform; delivered fast deployments through development, test and production environments.

Data Scientist at TENDAM

June 1, 2019 - June 1, 2019

Built the data science department architecture using AWS (S3, EMR, Hadoop, Lambda, SNS, Glue). Created machine learning algorithms in PySpark for churn analysis and recommendation systems. Established big data infrastructure and collaborated with marketing and analytics teams.

Data Scientist/Data Engineer at Riachuelo

September 1, 2018 - September 1, 2018

Led the big data implementation for Riachuelo's e-commerce; integrated legacy systems (Teradata, MicroStrategy) with AWS cloud solutions. Architected a comprehensive big data infrastructure using EC2, EMR, S3, Kinesis, Athena, Data Pipeline, Redshift and DynamoDB. Improved e-commerce recommendation via Rich Relevance platform and enhanced tagging through Google Analytics. Conducted segmentation via clustering analysis; built various ML models (regression, decision trees, random forest, neural networks).

Big Data Analyst at Airstrip

November 1, 2016 - November 1, 2016

Modeled and deployed metrics for system improvement by analyzing large datasets in Python and R. Developed data visualization for dynamic analytics (Tableau, R). Performed social media clustering and geomarketing to support marketing segmentation.

Researcher at Stevens Institute of Technology

May 1, 2016 - May 1, 2016

Created predictive algorithms and multivariate analyses on big datasets using R and SAS. Applied big data and machine learning techniques for decision-making and social media data analysis.