Passionate, hard-working individual that is constantly looking for new challenges in life. Intrinsic motivated to be part of the Digitalization and make radical changes in companies.
✅ End-to-End ETL Pipeline Development:
Designed and implemented ETL processes from raw data layers to finalized dataproducts used as critical inputs for business decision-making.
✅ Real-Time Data Processing:
Built real-time ETL pipelines using Kafka topics for data consumption, Apache Flink for transformation, and Kafka for reprocessing and output.
✅ Data Workflow Orchestration:
Managed and automated complex data workflows using Apache Airflow, ensuring reliable and efficient pipeline execution and monitoring.
✅ Full Data Pipeline Ownership: Designed and implemented complete ETL/ELT processes, moving data from raw ingestion (raw) through transformation to a fully refined, analytics-ready state (gold/curated).
✅ Data Product Development: Exposed key strategic data assets through the creation of robust REST APIs for seamless internal and external consumption.
✅ Automated Decision Systems: Engineered and deployed critical business rules for automated credit approval processes, including scoring models and policy enforcement.
✅ Process Automation: Successfully reduced operational timelines and increased efficiency by developing and implementing targeted technological solutions.
✅ Requirements Management: Managed project lifecycles with a strong focus on quality, end-to-end traceability, and strict regulatory compliance.
✅ End-to-End ETL Pipeline Development: Designed and built robust ETL processes using C# .NET Core for data extraction, transformation, and loading, ensuring scalable and maintainable architectures.
✅ Real-Time Data Processing: Developed SOAP/REST services to enable seamless data integration between disparate systems, facilitating efficient data flow across the organization.
✅ Data Workflow Orchestration: Automated critical business processes involving data handling, reducing manual intervention and improving data accuracy and timeliness.
✅ End-to-End Data Solutions: Implemented full-stack data solutions—from backend data processing to functional user interfaces—ensuring data accessibility and usability for business stakeholders.
✅ Advanced Business Intelligence
✔ Developed interactive dashboards using R Shiny.
✔ Data transformation for strategic decision-making models.
✅ Large-Scale Data Processing
✔ Designed optimized ETL/ELT pipelines.
✔ Managed large data volumes in cloud and on-premise environments.
✅ Tech Stack
✔ Microsoft Stack: SQL Server, SSIS, Azure Data Lake, Azure Databricks.
✔ Cloud Data: Ingestion, transformation, and storage in Azure.
✔ Data flow automation with Databricks (PySpark/Scala).
✅ Advanced Cloud Management:
✔ Implementation and administration of VPS servers on AWS (EC2, EBS, VPC).
✔ Configuration of secure and scalable environments.
✅ Databases & Storage:
✔ PostgreSQL/PostGIS (for geospatial data).
✔ MySQL and MongoDB for NoSQL solutions.
✔ Query optimization and index management.
✅ Scientific/Technical Documentation:
✔ Creation of professional LaTeX templates for technical papers.
✔ Documentation of architectures and data workflows.
Degree obtained. 5 years of study. Basic to advanced knowledge in computer science.
Certificates obtained in Data Engineer and subjects related to data analysis.
Certificates obtained in programming, database management and frameworks.
