Tito Henao
Senior Data Engineer @Coterra Energy
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WORK HISTORY
Senior Data Engineer @Coterra Energy
Хьюстон, TX, US
Architected canonical API14 well master framework (multi-vendor) integrating daily, monthly, header, effective-dated attributes, and directional survey data into a unified, governed entity model- Designed and implemented a mastered survey and spatial framework, incorporating depth-wise minimum curvature computations with GIS-derived coordinates, and leveraging SQL Server spatial types and shape intersection logic to define well-to-geometry entity relationships (e.g, DSU polygons), supported by standardized for consistent spatial assignment and location-based analytics- Spearheaded PoC for incremental data movement patterns (CDC-driven ingestion → lake staging → curated warehouse) to reduce latency and improve reliability- Modernized performance architecture (partitioning, columnstore, workload isolation) to support high-volume financial and production datasets- Defined materialization vs. virtualization strategy to balance cost, freshness, and compute efficiency across platforms.
EDUCATION
Coursera
Machine Learning Specialization, Artificial Intelligence
University of Oklahoma
M.Sc. Engineering
SKILLS
ABOUT TITO HENAO
Senior Data Engineer with 8+ years delivering scalable data platforms and analytics solutions across the energy sector. Strong track record building enterprise ETL pipelines, E&P production and accounting data models, and BI products that support engineering, finance, and operations.Experience includes modernizing large Python-based analytics systems, deploying Azure-based reporting platforms, and leading small Agile teams. Deep hands-on expertise across SQL Server, SSIS/SSAS, Denodo, Vertica, Python, Azure DevOps, Power BI/Spotfire, and PowerShell automation. Recognized as a rapid, adaptive learner who quickly masters new tools, domains, and technologies.Background includes end-to-end upstream E&P business processes, ranging from petrophysics to production accounting, financial planning, emissions monitoring, asset management, and more. Focused on building reliable, testable, business-aligned data solutions that scale across the enterprise.
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