Nosql, Tableau Desktop, Data Modeling, Redshift, Oracle, Python, Sql, Etl, Amazon QuickSight

Knowledge of MLOps AIOps model monitoring and AI observability frameworks, Experience supporting Generative AI Machine Learning or AI platform initiatives, Analytics Dashboarding BI, Creating executive dashboards for GenAI insights usage performance cost reliability, Relevant cloud certifications Azure Data Engineer Databricks Snowflake, Data Engineering Pipeline Development, Building scalable batch and streaming pipelines for GenAI data telemetry usage model outputs

Apis, Ready Api, Apigee, Sql Queries, Application Support, Shell scripting, Dynatrace, Rest Apis, Postman, Python, AWS, Seibel

Data Modeling, Release Management, Requirements Management, Solution Architecture, AWS, Artificial Intelligence, Data Quality, System Integration, Data Analytics, Azure, Intelligent Automation tools, Data and Analytics platforms, System Designs, Lineage Cataloging tools, Infrastructure as code, Design Applications, Observability, Cloud-native platforms, Generative AI, Orchestration frameworks, CI CD pipelines, Machine learning lifecycle, Intelligent automation platforms, Data Lakehouse architecture

Servicenow, Gcp, Incident Management, Cloud Infrastructure, Azure, Itil, AWS, Major Incident Notification Tooling, AI-driven Quality Engineering Tools

Power Bi, Tableau, Excel, Data Analytics, Salesforce, Market Intelligence, Business Analysis

Java, Power Automate, Spring Boot, Sql, Git, Azure Functions, Microsoft Azure, Rest Apis, Spring Framework, Agile development practices, Microservices architecture, Relational Databases

Java, Cloudformation, Json, Google Cloud, Docker, Terraform, Xml, Rest Apis, Azure, Python, Kubernetes, AWS

Cloud Infrastructure, Sql, Python, AI LLMs, data matching, entity resolution, ETL pipelines

react.js , Git, Typescript, Javascript, Html5, Oracle Database, Agile, Node.js, Css3, Python, Sql