Open to opportunities

Nuno Melo

@nunomelo

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Data engineer with a background in bioinformatics and 3 years experience.

Portugal

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What I'm looking for

Data engineer always looking to hear from companies that emphasize innovation, continuous learning, and collaborative problem-solving. Flexibility, especially in remote work, matters to me—as does a culture of respect, constructive feedback, and shared responsibility for outcomes.

I am a data engineer with a strong foundation in bioinformatics and nearly three years of experience in developing robust ETL pipelines for large-scale data workflows. My analytical rigor and structured problem-solving skills enable me to design effective pipelines, enforce data quality, and support data-driven decision-making. I have a proven ability to collaborate with cross-functional teams, translating complex business needs into technical solutions.

Currently, I work at Robert Bosch S.A., where I design and build scalable ETL pipelines that deliver hundreds of gigabytes of automotive quality data. My role involves monitoring and optimizing pipeline performance and collaborating with data analysts and scientists to ensure our solutions meet business objectives. Previously, I contributed to data analytics pipelines at BNP Paribas, where I focused on data integrity and confidentiality while minimizing technical debt.

My academic background includes a Post-Graduate degree in Data Science and Advanced Studies in Bioinformatics. I have co-authored four peer-reviewed research papers and presented my research at various scientific conferences.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Robert Bosch S.A.

Oct 2024 - Present (9 months)

Designed and built scalable ETL pipelines, delivering hundreds of gigabytes of automotive quality data from OEM systems to consumers across dozens of workflows. Led the adoption and integration of dbt into the data stack, improving development workflows with modular SQL and documentation practices.

ETL DBT SQL Python Azure Databricks Performance Optimization Agile Git Pyspark

Data Analytics Engineer

BNP Paribas

Jul 2023 - Oct 2024 (1 year 3 months)

Developed data analytics pipelines to process high-volume data, ensuring data integrity and confidentiality while overseeing results delivery to the European Central Bank. Minimized technical debt by helping prepare an internal document on Python and PySpark best practices and developing a tool to diagnose sub-optimal code before deployment.

Data Analytics Python Pyspark SAS ETL Data Processing Confidentiality SQL Dataiku

Data Engineer Trainee

BNP Paribas

Sep 2022 - Jul 2023 (10 months)

Assisted in implementing a Snowflake data warehouse, reducing turnaround time for Tableau reports by streamlining data integration. Gained foundational experience in data engineering practices and collaborative development.

Data Warehousing Tableau Data Integration SQL ETL Data Management Data Analysis Dataiku

Bioinformatics Analyst

Instituto Superior Técnico

Jan 2019 - Aug 2021 (2 years 7 months)

Contributed to Yeastract, a curated database on yeast gene regulation, by performing large-scale web scraping and systematic literature reviews. Developed scripts to automate the detection of mutations in microbial genomes, supporting strain selection for biotechnological applications.

Bioinformatics Web Scraping Statistical Analysis Genomics Python Research Hypothesis Testing

Education

Degrees, certifications, and relevant coursework

NOVA IMS

Post-Graduation in Data Science, Data Science

2021 - 2022

Grade: 19

Awarded a merit grant by DGES for exceptional performance. Projects included clustering customers, supervised classification of customers, and a genetic algorithm to optimize an artificial neural network.

Instituto Superior Técnico

Advanced Studies in Bioinformatics & Biotechnology, Bioinformatics

2019 - 2021

Grade: 19

Advanced studies in Bioinformatics and Biotechnology, focused on research with supplementary coursework. Coursework included Biophysics, Metagenomics, and Statistics.