data engineering , Incident Response, observability monitoring, AI-ready platforms, data platform strategy, data governance frameworks

Erp, Application Lifecycle Management, Agile, Transition Management, Itil, Devops, Service Governance, Intelligent service management, Data management and integration strategies, Program Management, Architecting applications, Application portfolio rationalization, Data platforms, Cloud-based application architectures, AIOps, Large-scale application deployments, modernization, Legacy application landscapes, AI-first delivery models, Operational Excellence, Application performance monitoring, Transformation initiatives, GenAI-driven IT operations, Applications Infrastructure

Machine Learning, Agile Methodologies, Product Management, Ai, Product Development Tools

React, Enterprise Architecture, AWS, Salesforce Sales Cloud, Lightning Web Components, agentic AI-enabled engineering practices, AI development tools, modern web technology frameworks, Streaming APIs, integration patterns, Bulk APIs

It Service Management, Servicenow, Change Management, Jira, Problem Management, SDLC Engineering processes, Cutover, Industry frameworks, SRE functions, ffiec, ITIL V4, Cobit, nist, Regulatory Requirements

Consulting operations, Succession Planning, Client Engagement, Global delivery models, Blueprint-led delivery, AI orchestration, Mentoring

Gdpr, Data Management, Apis, BI, Hipaa, Data Governance, CCPA, Data Catalog, Lineage, Salesforce Platform, rbac, AI analytics, ABAC

amazon emr , Amazon Redshift, AWS Glue, AWS Generative AI services, Amazon QuickSight, AWS Lake Formation, Amazon SageMaker, Amazon Bedrock, AWS Data Analytics services

Apache Flink, Data Modelling, Scala, PostgreSQL, Apache Spark, Schema Design, Sql, Devops, Hive, Spark Streaming, Docker, FastAPI, Python, Kubernetes, Parquet, Apache Iceberg, data security standards, data architecture principles, AI concepts and tools, cloud data platforms, Podman, ETL tools and frameworks, data pipeline orchestration