Ml, Sql, Microservices, Nosql, Devops, Gcp, Cloud, Agile, Microsoft Azure, Scrum, Rest Apis, AWS, Azure DevOps, Generative AI, Product Management, Data Pipelines, Ai

content management systems , Servicenow, Jira, Confluence, Information Architecture, Product Management, Enterprise Knowledge Systems, Knowledge Strategies, Program Management, Agentic Workflows, Workflow Platforms, Retrieval-based Systems, Support Enablement Platforms, Content Standards, zendesk, Taxonomies, AI-assisted Support, Governance Frameworks

data quality assurance , collaborating with diverse teams, extract transform and load processes, data integration techniques, data pipeline architecture, validation methods, Alation Data Catalog

Network, technical infrastructure management, Software, data center hardware

Data Modeling, Pyspark, Pulumi, Apache Airflow, Terraform, Databricks, Data Warehousing, Advanced Sql, Python, Etl, AWS, Apache Iceberg, Infrastructure as Code, AWS CDK, Distributed Data Processing Systems, ELT Architecture, dbt, Delta Lake, Data Quality Testing Frameworks, CI CD for Data Engineering

Ms Excel, Material Master, Sap Ecc, Master Data Management Governance, Customer Master Lifecycle, Payer, SAP S 4HANA, Production Master, Reconciliation, Customer Master Maintenance, Bill-to, Quality Master Data, Customer Account Creation, Master Inspection Characteristics, Reference Operation Sets, SAP Customer Master, Cleansing, Data Validation, SAP Master Data, Ship-to, Quality Inspection Plans, Sold-to

Data Cleansing, Data Profiling, Data Governance, Informatica DQ, Data Quality Management, Data Analysis, Colibra DQ, Ataccama

Performance Tuning, Hadoop, Azure Functions, Scala, Apache Spark, Sql, Nosql, Hive, Azure Data Factory, Databricks, Cosmos DB, Hbase, Python, data marts, Big Data Frameworks, Cloud platforms, batch data processing, data quality validation, Synapse, data lakes, Eventhub, Optimization, Medallion architecture