David solorzano
@davidsolorzano
Senior data engineer specializing in GCP/AWS big-data pipelines, scalable ETL/ELT, and data governance.
What I'm looking for
I’m a strategic data engineering specialist with over 5 years of experience building high-volume data pipelines and cloud architectures across GCP and AWS. I focus on turning complex raw data into actionable assets through scalable ETL/ELT and robust operational reliability.
At Bluetab (an IBM company), I led end-to-end data delivery for BBVA, driving performance improvements that transformed 20M+ daily records per table with execution times under 2 minutes. I orchestrated an AWS ecosystem using Glue, Catalog, S3, and SageMaker, and I automated account closing by integrating SAP with Streamlit to reduce processing from 1 week to under 1 hour—while delivering real-time insights via Looker.
I also strengthened governance and delivery planning by defining technical dictionaries (Nebula) and resource roadmaps to ensure project viability. For enterprise-scale orchestration, I helped achieve 99.9% pipeline reliability through acceptance tests and monitored logs using CloudWatch and Control-M.
Earlier, as a BI Lead at Xertica, I built a multi-country KPI dashboard and implemented an ETL framework with Matillion into BigQuery for a single source of truth. I continue to bring a strong analytical mindset from my research background, including ML work on gait-cycle segmentation, to build data products that are both measurable and dependable.
Experience
Work history, roles, and key accomplishments
Data & BI Consultant
Bogotá Secretary of Finance
Jun 2025 - Oct 2025 (4 months)
Architected a centralized GCP data warehouse to integrate large-scale tax data from SAP and Oracle. Automated ELT pipelines with GCP Workflows/Cloud Scheduler in BigQuery, reducing manual processing errors by over 90% and accelerating report generation by over 3 weeks.
Education
Degrees, certifications, and relevant coursework
University of Los Andes
Master of Science in Biomedical Engineering, Biomedical Engineering
Scholarship recipient who completed an M.Sc. in Biomedical Engineering with research projects in biomedical data and machine learning.
University of Los Andes
Bachelor of Science in Biomedical Engineering, Biomedical Engineering
Scholarship recipient who completed a B.Sc. in Biomedical Engineering, including biomedical engineering research and applied machine learning work.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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