Manish Vyas

About Manish Vyas

At Disney Entertainment & ESPN, my data and analytics architecture leadership has shaped a team that excels in designing efficient, cost-effective data solutions. The focus has been leveraging cloud analytics and databases to drive business intelligence and operational efficiency. Our team’s innovative approaches have led to substantial cost savings and enhanced analytical capabilities.With a strong foundation in MPP databases and machine learning, my role emphasizes the creation of robust data architectures that support predictive and prescriptive analytics. The successful implementation of data modeling strategies and workspace designs is a testament to our commitment to agility and excellence in the fast-paced media and entertainment industry.

Experience

1. Senior Manager - Data and Analytics Architecture and Applied Machine Learning

   The Walt Disney Company

   Oct 2022 — Present · Seattle, WA, US

   Led enterprise data architecture and machine learning engineering functions, maintaining executive level technology governance and org wide architecture cadence during a period of significant senior staff attrition.• Established and scaled organization wide enablement programs by implementing Databricks and Snowflake led training that upskilled engineers, analysts, and data scientists across data engineering, ML, and analytics disciplines.• Partnered with Legal and Compliance leadership to operationalize AI powered data platform capabilities (including Snowflake Cortex), enabling responsible adoption of emerging technologies under heightened regulatory and risk constraints.• Acted as lead architect for high stakes legal, privacy, and regulatory initiatives, including organization wide tracking remediation, DOJ driven data discovery for a business acquisition, and large scale consumer data anonymization.• Drove the definition and rollout of a modular, managed data platform architecture, standardizing data development, governance, and reuse across streaming services.• Led enterprise customer data integration efforts, unifying data across major sources to support marketing, product, and advertising decision making.• Advanced data modeling and workspace design standards, accelerating delivery of shared dimensional models and metrics while improving consistency and governance.• Established foundational ML Operations practices and platform cost and usage visibility, enabling leadership to make informed decisions about scaling and optimization of data and ML platforms.

Education

• University of Washington

  Certificate in Data Science, Data Science and Machine Learning

  2017 — 2017

• Gokhale Education Society

  Highschool, Science

  1986 — 1988

• Sir Ratan Tata Institute of Technology

  Computer Science, Oracle, Pro-C and Cobol

  1991 — 1993

• University of Mumbai

  B.Sc., Physics, Mathamatics and Statistics

  1988 — 1991

Skills

• Data Migration
• Big Data Training
• Business Objects
• Leadership
• R
• Mapreduce
• Sql
• Visio
• Hiveserver
• Db2
• Software Project Management
• Java
• Sql Tuning
• Etl
• Stored Procedures
• Atlassian Jira
• Javascript
• Olap
• Fisheye
• Data Modeling
• Agile Methodologies
• Hive
• Data Warehousing
• Tableau
• Xml
• Database Design
• Spark
• Mongodb
• Data Architecture
• Big Data
• Sdlc
• Python
• Scrum
• Analytics
• Git
• T-Sql
• Performance Tuning
• Control-M
• Jenkins
• Business Intelligence