
Santh Meyyur
@santhmeyyur
I build enterprise AI, data, and personalization platforms that improve decisions, revenue, and operational efficiency.
What I'm looking for
At Fidelity Investments, I led enterprise AI/ML and personalization platforms serving 30M+ customers. My teams built real-time and batch inference systems for recommendations and financial advice, contributing approximately $250M in incremental annual revenue.
I designed a five-layer multi-agent RAG platform on AWS using Bedrock Agents, OpenSearch, LangGraph, ECS, and Amazon Personalize, targeting $5M+ in enterprise revenue impact. I also improved model deployment speed by 40% and reduced customer decision latency by more than 30% through reusable pipelines and API-driven personalization.
I’ve led data engineering and operational excellence initiatives across Snowflake, including FinOps dashboards, telemetry data lakes, observability, compliance tagging, and self-service tooling. My recommendations helped reduce batch-job costs by 61%, saving $200K annually.
Previously at Amazon, I led Alexa Data Services and big data architecture work, reducing ticket turnaround time by 20% and automating work that saved 80 person-hours each week. Across Wolters Kluwer Health, Liaison International, Model N, Waystar, and AGERO, I’ve built data warehouses, data lakes, analytics products, MDM solutions, and cloud platforms for healthcare, life sciences, higher education, and enterprise clients.
Experience
Work history, roles, and key accomplishments
Defined and executed enterprise AI/ML and personalization platform strategy serving 30M+ customers. Led development of real-time and batch AI inference systems, contributing ~$250M incremental annual revenue.
Led a 10-member squad focused on operational excellence for the analytics platform. Developed FinOps dashboards and observability tools, achieving 61% cost reduction or $200k savings annually.
Created data strategy for various business units and led migration to Snowflake Data Exchange. Led visualization development for executive dashboards and acted as SME for Snowflake Data Shares.
Built and owned a solution ingesting Alexa data from JSON to databases and downstream queues. Led a 30-member team, decreasing ticket turnaround time by 20% and saving 80 person-hours weekly.
Led a team of analytics developers, full stack developers, and QA engineers. Built data ingestion architecture into a data lake and created data models for relational and NoSQL databases.
BI/EDW Architect
Liaison International
Jan 2014 - Oct 2015 (1 year 9 months)
Designed and developed a client-facing data warehouse SaaS solution for higher education admissions. Defined data models, built Tableau dashboards, and created ETL programs.
Managed a 5-member team, maintaining budget and project plans. Designed enterprise data warehouse solutions for pharmaceutical clients using SQL Server SSIS.
Technical Leader
Way Star
Sep 2008 - Aug 2010 (1 year 11 months)
Designed and developed programs to load patient information files using SSIS. Wrote stored procedures and developed SSIS packages for complex datasets.
Technical Leader/Manager - Data Management
AGERO
Feb 2000 - Sep 2008 (8 years 7 months)
Designed and deployed an ETL application loading data into Oracle and data warehouse, improving CSI score by 1.5%. Enhanced data warehouse availability to 100% and wrote complex encryption programs.
Database Development Consultant
PMC-Zenith
Oct 1997 - Feb 2000 (2 years 4 months)
Worked as a database development consultant at various organizations including Reader's Digest, NY Board of Education, and Boston Medical Center International.
Sr. Architect Big Data Specialty
Built reference architectures for big data solutions and provided architectural guidance to AWS customers. Mentored junior solution architects.
Education
Degrees, certifications, and relevant coursework
Champlain College
Certificate, Blockchain
2024 - 2024
Blockchain Certificate from Champlain College, 2024.
Babson College
Master of Business Administration, Business Administration
MBA from Babson College, Wellesley, MA, 2009.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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