Vladimir Sanchez

WORK HISTORY

ABOUT VLADIMIR SANCHEZ

Data Engineer | Technical Leader | Developer Transformational data engineering executive with 25+ years of hands-on proven expertise in modernizing legacy platforms, optimizing costs, and leading high-impact technical initiatives that drive business growth. A proven technical leader who combines deep data engineering expertise with strong business insight to deliver transformational results—from million-dollar cost savings to revenue-generating product launches—while mentoring and scaling world-class technical teams. I bring a unique blend of deep technical mastery and strategic business acumen, having orchestrated millions in cumulative cost savings through intelligent infrastructure optimization and database modernization initiatives. I’ve led cross-functional teams through complex enterprise transformations to modern, cloud-native architectures. My expertise spans the entire modern data engineering stack—from orchestrating bootstrapped ETL pipelines, to Apache Airflow adoption to optimizing cloud databases on AWS. I’ve embraced a FinOps mindset, achieving results such as a 5X infrastructure downsize (from 64-CPU to 8-CPU clusters) while maintaining SLA-level performance, and deploying solutions that delivered considerable operational efficiency gains. As a thought leader and mentor, I’ve built high-performing teams by introducing quality frameworks which virtually eliminated customer complaints and accelerated feature delivery. I have a strong track record of translating complex technical concepts into business value, making me a trusted advisor to executive stakeholders. Currently, I continue to drive innovation in real estate analytics. I lead initiatives in cloud migrations, cost optimization, and team development. I am particularly interested in artificial intelligence (AI), machine learning (ML), and generative artificial intelligence (GenAI). My technical expertise encompasses SQL, Python, REST, FastAPI, PostgreSQL, Oracle, Iceberg, Data Warehousing, AWS, SAP, Delphi, and contemporary data visualization tools such as Looker, Tableau, PowerBI, Mode, and SuperSet along with proficiency in data streaming and data integrations.