Brayan David Solorzano Quevedo

Led the end-to-end data delivery for BBVA.
Managed a semi-senior engineer to architect high-performance pipelines using Spark and Scala.
Transformed 20M+ daily records per table with optimized execution times under 2 minutes.
Orchestrated a complex AWS cloud ecosystem (Glue, Catalog, S3, and SageMaker).
Automated the deployment of artifacts via Jenkins and Bitbucket.
Ensured seamless data availability for banking, insurance, and securities products.
Developed a Python-based automation (SAP & Streamlit integration) for internal account closing operations.
Reduced manual processing time from 1 full week to under 1 hour.
Delivered real-time financial insights via Looker.
Directed Data Governance and Project Planning.
Defined technical dictionaries (Nebula) and resource roadmaps.
Balanced stakeholder requirements with financial constraints to ensure 100% project viability.
Ensured 99.9% pipeline reliability by leading the development of Acceptance Tests (AT).
Used CloudWatch and Control-M logs and monitoring orchestration.

Led the end-to-end data delivery for BBVA, managing a semi-senior engineer to architect high-performance pipelines using Spark and Scala; transformed 20M+ daily records per table with optimized execution times under 2 minutes., Orchestrated a complex AWS cloud ecosystem (Glue, Catalog, S3, and SageMaker), automating the deployment of artifacts via Jenkins and Bitbucket to ensure seamless data availability for banking, insurance, and securities products., Revolutionized internal account closing operations by developing a Python-based automation (SAP & Streamlit integration); reduced manual processing time from 1 full week to under 1 hour, delivering real-time financial insights via Looker., Directed Data Governance and Project Planning, defining technical dictionaries (Nebula) and resource roadmaps that balanced stakeholder requirements with financial constraints to ensure 100% project viability., Ensured 99.9% pipeline reliability by leading the development of Acceptance Tests (AT) for enterprise-scale logs and monitoring through CloudWatch and Control-M orchestration.

Architected a centralized Data Warehouse on Google Cloud Platform (GCP).
Implemented a multi-layer architecture (Staging, Dim/Fact, Presentation, Consumption).
Integrated large-scale tax data from SAP and Oracle.
Automated complex ELT pipelines using GCP Workflows and Cloud Scheduler.
Transformed raw BigQuery data into refined business assets.
Reduced manual data processing errors by over 90%.
Enhanced the city tax collection calculation engine.
Accelerated report generation by over 3 weeks.
Reduced human resource overhead for the financial department.
Developed high-impact BI solutions in Looker.
Provided executive directors with real-time visibility into tax revenue KPIs and strategic financial trends.
Managed cloud-native storage solutions using Google Cloud Storage for master data management.
Ensured 100% data consistency across the enterprise warehouse.

Architected a centralized Data Warehouse on Google Cloud Platform (GCP), implementing a multi-layer architecture (Staging, Dim/Fact, Presentation, Consumption) to integrate large-scale tax data from SAP and Oracle., Automated complex ELT pipelines using GCP Workflows and Cloud Scheduler, transforming raw BigQuery data into refined business assets and reducing manual data processing errors by over 90%., Enhanced the city tax collection calculation engine, accelerating report generation by over 3 weeks and significantly reducing human resource overhead for the financial department., Developed high-impact BI solutions in Looker, providing executive directors with real-time visibility into tax revenue KPIs and strategic financial trends., Managed cloud-native storage solutions using Google Cloud Storage for master data management, ensuring 100% data consistency across the enterprise warehouse.

Directly reported to the CEO.
Architected a multi-country operational dashboard that centralized KPIs for Finance, Sales, and Delivery across 5+ regional offices.
Engineered a comprehensive ETL framework using Matillion.
Automated data extraction from NetSuite (ERP), Salesforce (CRM), and Jira into BigQuery.
Ensured a single source of truth for the entire organization.
Developed a robust semantic model using Looker (LookML).
Created a standardized data layer that empowered department heads to track leads, opportunities, and Order-to-Cash (OTC) cycles in real-time.
Led and mentored a Junior BI Engineer.
Established best practices for data modeling and layered processing (Raw to Consumption).
Improved the Sales & Operations (S&OP) reporting cycle.
Reduced manual data consolidation efforts.
Provided visibility into the full sales funnel and project delivery health.

Directly reported to the CEO, architecting a multi-country operational dashboard that centralized KPIs for Finance, Sales, and Delivery across 5+ regional offices., Engineered a comprehensive ETL framework using Matillion, automating data extraction from NetSuite (ERP), Salesforce (CRM), and Jira into BigQuery, ensuring a single source of truth for the entire organization., Developed a robust semantic model using Looker (LookML), creating a standardized data layer that empowered department heads to track leads, opportunities, and Order-to-Cash (OTC) cycles in real-time., Led and mentored a Junior BI Engineer, establishing best practices for data modeling and layered processing (Raw to Consumption) to support executive decision-making., Improved the Sales & Operations (S&OP) reporting cycle, reducing manual data consolidation efforts and providing visibility into the full sales funnel and project delivery health.

Processed kinematic data from 70 subjects using Pandas and Scikit-learn to create open-source biomechanical databases.
Deployed ML algorithms for automatic movement segmentation.
Eliminated manual processing.
Improved medical evaluation accuracy.
Achieved a 95% increase in reporting speed.

Processed kinematic data from 70 subjects using Pandas and Scikit-learn to create open-source biomechanical databases., Deployed ML algorithms for automatic movement segmentation, eliminating manual processing and improving medical evaluation accuracy., A 95% increase in reporting speed.