Neil Sato
Data Analysis and Visualization | AI Innovator & Product Manager
- Role
- Senior Consultant at Unify Consulting
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Neil Sato
As a Senior Consultant at Unify Consulting, I provide data engineering, data analysis and data visualization solutions across various industries including healthcare, finance/tax, and recruiting at big data scale. More broadly I\'m a power user and early adopter of AI tools in the firm and at client engagements. I pave the way for new users to avoid speedbumps in ai, bi and process improvement. I combine years as a Business Analyst, BI Developer and early adopter to engage users and evangelize / enable better ways of working.My current function is AI Product Manger leveraging 20 years of experience deploying, building and developing new products for business integration.Industries-EU and US Tax and Accounting- Operations, HR and Finance- Mortgage, Real Estate and Asset Management- ITSM and Network SecurityTools and Coding- Analysis: Power BI, Tableau, Qlikview, AWS Quicksight- Data: Snowflake, Athena, Alteryx, EMR, Redshift- Python, SQL, Javascript, PySpark, SparkSQLSkills- Data preparation, ETL, and Data Engineering- Product and Program Management- Data Analysis and Visualization- Executive reports and presentations up to C-level- Leading cross-functional collaboration on data-related programs and projects- Leadership and management of data and analytics teamsCurrent projects- Building stock trading platform and automation using a.i- Task and Project management tool using a.i- A.i. Product Management course:
Experience
Senior Consultant
Nov 2022 — Present · Seattle, WA, US
Senior Data Analyst, EU Tax Data at Amazon- Lead standup, set priorities for junior analysts and collaborate with Data Engineers- SQL / AWS Glue / Python for ETL that converts business requirements into production-ready analysis and tax filings- Coordinate the efforts of data engineering and program teams through collaboration on requirements and deliverables to local tax authorities- AWS Glue - design and build out DAGs (Visual ETL jobs) as part of troubleshooting business requirements and tax filing output. PySpark at a basic level for working with SQL and business requirements-EMR / Spark SQL - coding / troubleshooting ETL jobs for production processes, SAFT tax statement creation- Alteryx Workflows - streamline, optimize and document; convert to SQL- Collaborate with Data Engineering and Technical Program managers to facilitate creation of technical deliverables and documentation- Develop ai workflows and agents in Amazon Quicksuite for optimizing daily business process, analyzing large code repos and reducing daily admin task hours - reduced time to value on email and slack by 90%- 1 hour per day savings. AWS tools used: Athena, S3, Glue, IAM, EC2, EMRAdditional tools / platforms: Salesforce, Oracle FA, Amazon Quicksuite
Education
University of California, Riverside
B.A. Comparative Literature, English and German Literature
1996 — 2001
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