Mohit Sati
Data Platforms | Data Models and pipelines | Databricks | REST APIs over Kafka | Kubernetes | Scaled Systems | Exec Experience: Wells Fargo • Salesforce • Cisco
- Role
- Executive Director at Wells Fargo
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Mohit Sati
Dynamic Engineering Leader with deep expertise in Data platforms, large-scale data…
Experience
Executive Director
Jun 2023 — Present · San Francisco Bay | Irving, TX, US
Create strategy and roadmap with executive leadership (VP+) to enhance capacity management and forecasting across the bank, establishing a centralized solution for insights, proactive planning.Leveraged Databricks Unity catalog and workflows for extracting, storage and processing of data, eliminating data silos, building dashboards and improving forecasting accuracy by 30%. MLFlow run time workflows using GPU and CPU workloads for training and model serving.Developed a multi petabyte Big data platform using AWS EMR and S3 aggregating a variety of data eliminating data silo and building dashboards. Created operational data stores on Redshift for capacity tracking and forecasting. Implemented data governance for lineage tracking, established Key management, RBAC, and advanced security controls to ensure compliance with CCPA and PCI-DSS standards.Leveraged Kafka as a unified bus and ran ETL pipelines using Databricks Spark/Streaming to manage large scale data ingestion, aggregation and transformation. Built capacity management dashboards using Tableau allowing for multi dimensional analysis, slicing and dicing, raw data querying, building reports and developing new models and integrating notebooks.Developed and launched a Tech Support chatbot powered by Amelia LLM, designed to provide instant, accurate technical solutions for common support issues. Successfully integrated the chatbot into the support workflow, reducing response times by 20% and enhancing customer satisfaction.Established end-to-end MLOps practices to operationalize ML workflows, including data versioning, experiment tracking, and automated model deployment on AWS. Integrated unit and integration tests, model security measures, and used observability tools like MonteCarlo for effective monitoring.
Education
Santa Clara University
MBA
Shivaji University
B.E.
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