GRISHMI PATEL
Sunnyvale,CA
Summary
TPM with a strong foundation in data engineering, data governance, and cloud-based analytics delivery. Builds technical plans, manages risks and dependencies, and supports GenAI and agentic pipeline evaluation to improve data flow, quality, and platform readiness.
Overview
7
7
years of professional experience
Work History
Data & AI - TPM
SLALOM CONSULTING
San Francisco Bay Area
04.2024 - Current
- Led data warehouse modernization using Databricks and Redshift, aligning architecture implementation, validation, and stakeholder milestones; improved query performance by 80%.
- Supported execution of Databricks-based data and AI platform program, defining technical workstreams, milestones, dependencies, and implementation priorities across data engineering, governance, analytics, and emerging AI capabilities.
- Translated unclear business and AI needs into technical plans, architecture choices, prioritized initiatives, and measurable outcomes.
- Coordinated dependencies across enterprise data sources, ingestion pipelines, data models, governance controls, analytics workloads, and downstream AI use cases to improve data flow and integration.
- Guided 5-person team delivering automated forecasting and customer-health reporting across six enterprise sources, coordinating technical dependencies and stakeholder review.
- Reviewed GenAI and agentic pipeline patterns using Mosaic AI, Agent Bricks, Genie, and MLflow to identify opportunities for self-healing ETL and semantic-layer capabilities that improved data reliability.
- Delivered 40% faster data retrieval and 30% improved data quality through platform modernization and governance improvements.
Analytics - TPM
SLALOM CONSULTING
San Francisco Bay Area
01.2021 - 03.2024
- Contributed to $2M+ in data and analytics cloud engagements through technical leadership and stakeholder alignment.
- Broke down unclear business problems into clear program scope; defined technical workstreams, set milestones, mapped dependencies, made architecture decisions, and outlined implementation approaches.
- Supported technical programs across enterprise data analytics, cloud, and emerging AI initiatives by coordinating engineering, architecture, business, sales, and client stakeholders.
- Tracked technical risks and dependencies across data availability, platform capabilities, integration requirements, governance, and downstream analytics and AI workloads.
- Led technical reviews and stakeholder checkpoints to answer open questions, drive mitigation decisions, and keep initiatives moving toward implementation.
- Prepared technical demonstrations, architecture walkthroughs, RFPs, SOWs, cost estimates, and executive readouts.
- Presented technical status, risks, tradeoffs, and recommended decisions to technical and executive audiences.
- Built KPIs to measure technical risk, assess stakeholder satisfaction, and evaluate competitive positioning.
Data Governance & Strategy - TPM
SLALOM CONSULTING
San Francisco Bay Area
01.2020 - 01.2021
- Supported governance transformation program execution across requirements, operating model design, platform integration, process implementation, and adoption.
- Built workstreams and milestone plans covering governance roles, technology integration, data quality, operating processes, and organizational enablement.
- Coordinated dependencies between governance tooling and cloud/data infrastructure to improve integration and operational efficiency.
- Improved data quality by 40% through governance workflow redesign.
- Set implementation and adoption checkpoints to surface risks and process gaps for timely resolution.
- Drove 100% adoption through technical and non-technical enablement.
- Defined governance roles and responsibilities to support 20% team reorganization and strengthen cross-functional alignment.
Education
M.S. - Computer Engineering
San Jose State University
Skills
- Data Engineering
- Data Pipelines
- Data Warehousing
- Data Governance
- Databricks
- Delta Lake
- Apache Spark
- PySpark
- Python
- SQL
- Machine Learning Frameworks
- Generative Model Development
- Model Deployment Strategies
- Data Integration Strategies
- Data Pipeline Resilience
- Predictive Analytics
- Data Visualization Techniques
- Data-Driven Insights
- Program management
- Program scope management
- Workstream definition and tracking
- Milestone management
- Risk resolution
- Stakeholder reporting
- KPI monitoring
- Technical requirements
- Technical tradeoffs
- Implementation planning
- Technical roadmaps and reviews
- Architecture reviews
- Python
- SQL
Current Title
SENIOR TECHNICAL PROGRAM MANAGER | AI/ML | DATA PLATFORMS
CERTIFICATIONS
- Databricks Certified Data Engineer
- AWS Certified Cloud Practitioner
Accomplishments
- Evaluated GenAI and agentic pipeline architectures for self-healing ETL and semantic-layer capabilities
- Delivered 40% faster data retrieval through data-platform modernization
- Improved data quality by 30%
- Led a 5-person team and coordinated six enterprise data sources
- Improved warehouse query performance by 80%
- Achieved 100% adoption of a new governance platform
- Contributed to $2M+ in data and analytics cloud engagements
Timeline
Data & AI - TPM
SLALOM CONSULTING
04.2024 - Current
Analytics - TPM
SLALOM CONSULTING
01.2021 - 03.2024
Data Governance & Strategy - TPM
SLALOM CONSULTING
01.2020 - 01.2021
M.S. - Computer Engineering
San Jose State University