English:
Upper Intermediate
Venezuela
UTC -04:30
America/Caracas
I am a data engineer with a master's degree in Random Models from Universidad Central de Venezuela.
I am a data engineer with a master's degree in Random Models from Universidad Central de Venezuela. My passion lies in designing and developing scalable and efficient data solutions using a variety of platforms and tools, including Google Cloud Platform, Amazon Web Services, Snowflake, Spark, Airflow, Scala, Python, and R. Currently, I hold the position of Data Engineer at Wizeline, where I have successfully designed the architecture of data pipelines (AWS and GCP) and formulated data migration strategies using various APIs and Airflow. Additionally, I have developed pipelines capable of processing millions of daily transactions using Spark and Scala. My responsibilities also include data ingestion from diverse sources using SQL, specific APIs, and Scala to generate valuable data views for utilization in BI tools like Tableau. Furthermore, I closely monitor the efficiency of data pipelines in terms of performance and time. Prior to joining Wizeline, I served as a Data Engineer at Fractal Software and ACREDITA, where I gained experience in large-scale data processing projects, social network sentiment analysis, and predictive modeling using XGBoost. My ultimate objective is to perpetually enhance my knowledge and expertise in data engineering, applying best practices to leverage the value and impact of data across different domains and industries.
Want to hire this engineer?
Check if Arturo is availableExpertise
Years of commercial development experience
7 years of experience
Core technologies
Other technologies
Project Highlights
Data Engineer
Mar `22 - May `24
2 years
Wizeline
QUASH is a No-Code GenAI Credit Risk Decisioning Platform that unifies Alternative Data, ML models and workflows to power your Financial Institution.
Responsibilities & achievements
-Designed and implemented a robust data pipeline architecture on Google Cloud, leveraging BigQuery as the data warehouse, Composer for deploying and managing Airflow as the orchestrator, Dataproc for Apache Spark and Hadoop services, and Cloud SQL for deploying a Postgres instance. This architecture optimized data consumption and improved overall data processing efficiency. - Successfully designed and deployed a data migration pipeline on AWS, enabling seamless data transfer between multiple sources. Utilized EMR tool to create a cluster and leverage Apache Spark for efficient data processing. Implemented MWAA (Managed Workflows for Apache Airflow) as a data orchestrator, ensuring streamlined workflow management. Leveraged Athena to perform complex queries on S3, enabling quick and flexible data analysis. Utilized Redshift as a scalable and high-performance data warehouse.
Data Engineer
Aug `21 - Sep `22
1 year
Fractal Software
Company that partners with ambitious entrepreneurs to launch the next generation of vertical SaaS (Software as a Service) companies. They provide support, insights, and capital to help build generational businesses, aiming to de-risk startups and increase the likelihood of venture-scale outcomes.
Responsibilities & achievements
-Utilized BigQuery for complex queries on various file formats (JSON, PARQUET, and CSV) stored in Google Cloud Storage (GCS). Developed data synchronization workflows between GCS and BigQuery using Airflow DAGs. - Leveraged PySpark to distribute processing across extensive datasets. Ingested streaming and transactional data from primary sources such as Spark, Redshift, S3, and Python. - Constructed efficient streaming and batch data pipelines on Snowflake.
Data Engineer
Mar `20 - Aug `21
1 year
ACREDITA
company that specializes in providing decision-making solutions for its clients. They offer products for credit risk management and commercial references. With a focus on banking and credit institutions, they aim to optimize the evaluation and monitoring processes of customer credit risk.
Responsibilities & achievements
Responsible for designing and implementing adaptable information transfer processes using Spark on AWS to meet the varying speed demands of different areas efficiently. I was involved the development of the data pipeline architecture for a cutting-edge product, ensuring seamless data flow and efficient processing. Use of tableau for reporting, using the data available in Redshift.
Machine Learning Engineer
Feb `20 - Aug `21
1 year
QUASH.ai
QUASH is a No-Code GenAI Credit Risk Decisioning Platform that unifies Alternative Data, ML models and workflows to power your Financial Institution.
Responsibilities & achievements
Created credit models for various financial institutions. Designed the data pipeline architecture in AWS. Representing model results by creating reports with tableau
Financial Data Scientist
Jul `18 - Mar `20
2 years
Synergy.Vision
Technology for Trading, Investment, Economy, and Finance. We develop technological solutions for modern companies in the financial world and provide the best training to enter this field.
Responsibilities & achievements
Creation of a Web application for the monitoring of risk metrics and application of artificial intelligence models.
Credit Risk Specialist
Sep `17 - Mar `18
6 months
Bancrecer
We are a highly competent team that creates productive and valuable relationships with our clients, who grow with us and demonstrate that our country continues to offer an extraordinary range of opportunities for the development of entrepreneurial initiatives.
Responsibilities & achievements
responsible for quantifying the different risk metrics of the bank
Education
Higher education in Computer Science
Agency
10-50
GMT-5
Lima, Peru
Core Expertise
Industries
Architecture & Design, E-Commerce & Retail, Information services & Technologies, Construction & Real estate, Data Science & Machine Learning, Branding, design, web development
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Check if Arturo is available