Leading enterprise data initiatives with 6 years of experience delivering AI/ML solutions and managing cross-functional teams of 30+ professionals.
Specializing in modern data stack implementations with Python, SQL, dbt, Airflow, Snowflake and cloud platforms.
Core Expertise
Featured
A highlight of my recent technical work and architectural decisions.
12-month, $1.2M migration of ~200 servers from 6 legacy data centers to AWS — zero unscheduled downtime, delivered within fixed budget and timeline.
View project details →Expertise
A comprehensive overview of my technical skills and technology stack.
Technical Skills
Data Platform & Architecture
Extensive experience designing and overseeing modern data platforms in cloud environments (AWS, GCP, Azure), including data lakes, data warehouses, and data marts for enterprise clients.
Proven track record leading legacy data system migrations to modern architectures, with robust data governance frameworks ensuring data quality, compliance, and reliability.
Deep expertise in data platform tooling — dbt, Dagster, Airflow, Snowflake, and Databricks — spanning both hands-on engineering and delivery leadership across 10+ end-to-end engagements.
Strong background in data modeling, ETL/ELT processes, and pipeline development, ensuring efficient data flow and transformation at scale.
Delivery & Leadership
Engagement ownership across enterprise accounts in LATAM and EMEA, driving value delivery, client satisfaction, and contract renewals in pharmaceutical and technology sectors.
Executive stakeholder management and strategic consulting — translating business needs into multi-quarter delivery roadmaps and advising C-level and senior stakeholders.
Portfolio and resource management at scale, including P&L ownership, engagement economics, and team scaling from startup to 30+ FTE delivery organizations.
Cross-cultural delivery leadership across LATAM and EMEA, with hybrid agile and predictive methodologies, and risk and escalation management for complex enterprise programs.
Languages
Portfolio
Data engineering and analytics projects showcasing modern data stack implementations.
18-month fixed-fee program migrating a legacy SQL Server data warehouse to Snowflake, dbt, and Tableau — governed by formal change control, contractual gateways, and three-tier stakeholder management.
A 12-month engagement to take a mid-market trading company from scattered operational systems to a unified data platform — Data Lake, Data Warehouse, BI, and predictive models, built from scratch with a hybrid agile planning model.
End-to-end ELT data lake pulling Spotify's global playlist data through a 4-stage medallion architecture on AWS S3, orchestrated by Airflow and transformed with dbt — delivered to Power BI dashboards.
Analytics engineering certification project — a three-layer dbt pipeline (staging, intermediate, marts) transforming 64 SAP source tables into analytics-ready dimensional models on BigQuery.
Python ETL pipeline that extracts e-commerce data from BigQuery public datasets, validates it with Pydantic, loads it into DuckDB, and sinks to multiple destinations — local CSV, Amazon S3, and MotherDuck.
