Robert Masaya
Lead Business Intelligence Engineer @Allergan Aesthetics, an AbbVie Company
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WORK HISTORY
Lead Business Intelligence Engineer @Allergan Aesthetics, an AbbVie Company
Irvine, CA, US
Lead BI Engineering team in adopting best practices in reporting, analyses, data integrity, test design, validation, and documentation.• Architected and implemented the migration to a modernized data platform utilizing Fivetran for data ingestion, combination of dbt Cloud and custom Python-based ETL jobs for data transformations, Snowflake for data warehousing, and AWS services (ECR, EKS, Managed Airflow) to streamline data workflows and enhance data accessibility.• Built and managed legacy data pipelines using a Python-based ETL framework and various AWS services (Amazon EventBridge, Step Functions, S3, Lambda, CloudWatch, SNS).• Work with stakeholders to understand our business strategy, translate that strategy into a vision for BI and Data Warehousing, and proactively define and execute on plans to achieve that vision.• Built and maintained a well-designed data infrastructure composed of warehouses and datamarts that enables the data teams to support A-DL with high impact dashboards and data visualizations as well as ad-hoc reporting, analyses, and data processing needs.• Lead and mentor team members through sprints, design sessions, and code reviews.• Represent BI Engineering team in collaboration and partnership with other functions within A-DL as well as departments external to A-DL (i.e. Brand Teams, Finance, etc.).
EDUCATION
University of California, Berkeley
Bachelor of Science (BS), Environmental Economics and Policy
SKILLS
ABOUT ROBERT MASAYA
Results-driven professional delivering innovative analytic software solutions. Highly experienced in big data, ETL, data analytics, visualization and business intelligence reporting. Proven leader and fast learner with the ability to prioritize multiple tasks efficiently and communicate effectively in high-pressure and fast-paced environments. Strong ability to manage multiple projects simultaneously and meet all deliverable deadlines.
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