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Luzdey Duque

@luzdeyduque

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Data Engineer with expertise in ETL and Machine Learning.

Colombia

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What I'm looking for

I seek a collaborative environment that fosters innovation and growth in data engineering.

I'm Luzdey Sthefanny Duque Mantilla, a passionate Data Engineer with a strong background in data extraction, transformation, and loading (ETL) processes. My academic journey in Electronic Engineering has equipped me with the skills to tackle complex data challenges, particularly in the realm of Artificial Intelligence. I have successfully implemented and migrated ETL processes from Qlik Sense to Microsoft Fabric, optimizing performance through advanced tools like PySpark and Spark SQL.

In my current role as a Business Intelligence Analyst at Eficacia, I lead the integration of multiple data sources, enhancing processing speed in large-scale environments. My experience extends to the development of automated and scalable pipelines, ensuring efficient data flow and reliable outputs. I am also proficient in Python, SQL, and Power BI, and I have a keen interest in leveraging cloud services like Azure and Google Cloud to drive data-driven decision-making.

Experience

Work history, roles, and key accomplishments

Current

Business Intelligence Analyst

Current

Eficacia

Feb 2024 - Present (1 year 5 months)

Designed and executed the migration architecture, ensuring the extraction, transformation, and loading (ETL) of large volumes of information into Power BI dashboards. Implemented automated and scalable pipelines that optimized performance and improved team productivity.

Pyspark Power BI ETL Data Pipelines Data Migration Azure Google Cloud Machine Learning

Data Analytics and AI Intern

Eficacia

Aug 2023 - Feb 2024 (6 months)

Led the adoption of PySpark and Spark SQL for integrating multiple data sources, improving processing speed in large-scale environments. Employed Delta Parquet tables to reduce size and increase efficiency in data reading and writing, ensuring a reliable and high-performance flow.

Pyspark Data Integration Data Optimization ETL Power BI Python SQL

Research Group Member

CPS

Jun 2021 - Jun 2023 (2 years)

Participated in a research group focused on the detection of Parkinson's disease using voice through Machine Learning techniques. Contributed to the development and implementation of research methodologies.

Machine Learning Data Analysis Research Python Deep Learning Data Extraction API Integration

Education

Degrees, certifications, and relevant coursework

Universidad Industrial de Santander (UIS)

Ingeniería Electrónica, Ingeniería Electrónica

Activities and societies: Participated in the CPS research group from June 2021 to June 2023.

Completed a comprehensive program in Electronic Engineering, gaining expertise in various aspects of the field. Participated in a research project focused on Parkinson's detection using voice analysis and Machine Learning techniques.