Kervin A. Leacock

About Kervin A. Leacock

Innovative Data Leader specialized in bridging the gap between complex engineering architectures and measurable business growth. Expert at scaling environments into enterprise-grade Lakehouse models, including the delivery of a \"Better Together\" award-winning Marketing Attribution tool and the development of ML-driven referral graphs with 2,700+ MAU. Deep expertise in FinTech and Global Markets, with a history of re-engineering data pipelines to support major global expansions—notably onboarding $120B AUM clients (Project Bridgewater). Technical strategist proficient in Databricks, AWS, and AI-driven observability to optimize team velocity and data ROI.

Experience

1. Director of Analytics Engineering

   Self Financial, Inc.

   Mar 2024 — Present · Austin, TX, US

   Responsible for the architectural integrity of the \"Data Product\" ecosystem, ensuring the seamless flow of validated, high-performance data from the Lakehouse to executive-facing intelligence tools. Overseeing the end-to-end transformation layer of the enterprise data stack- Engineered a high-reliability data ecosystem utilizing Kimball Methodologies, improving data reliability to 99.7% and reducing reporting latency by 40% through optimized transformation pipelines- Led the launch of a \"First-in-Class\" Marketing Attribution tool by aligning Engineering, Marketing, and Finance stakeholders; with a 20% spend optimization and a \"Better Together\" award for cross-departmental collaboration- Developed lineage and DQ flows Integrated wth Copilot and Amazon Q into the analytics engineering workflow, increasing team velocity by 30% and eliminating hours of manual data-cleaning debt- Serve as a \"Player-Coach,\" conducting architecture reviews while translating complex lakehouse concepts into actionable business roadmaps for non-technical stakeholders.

Education

• Universidad Nueva Esparta

  Bachelor of Science, Computer Science

  1995 — 2001

• General Assembly

  Product Management, Entrepreneurship/Entrepreneurial Studies

  2014 — 2015

Skills

• Basel Ii
• Operational Efficiency
• Banking
• Data Modeling
• Dashboard
• Business Requirements
• Data Governance
• Statistical Inference
• Strategic Planning
• Agile
• Basel Iii
• Data Stewardship
• Functional Specifications
• Process Engineering
• Business Analysis
• Etl
• Data Quality
• Data Aggregation
• Insurance
• Master Data Management
• Dimensional Modeling
• Business Process Management
• Statistical Modeling
• Gap Analysis
• Business Objects Data Integrator
• Data Migration
• Business Objects
• Analytics
• Key Performance Indicators
• Business Strategy
• Agile Methodologies
• Data Integration
• Data Marts
• Data Analysis
• Aml
• Process Efficiency
• Systems Analysis
• Data Warehouse Architecture
• Business Process
• Oil