snowflake , Power Bi, Data Modeling, Data integration and orchestration tools, Data quality techniques, Microsoft Azure data and AI services, Informatica IICS

Database Design, Data Governance, Data Architecture Principles, Data quality management, Data integration methods and tools, Data modeling techniques, Scalable and efficient data storage solutions

Ml, Pyspark, Sql, Deep Learning, Docker, Databricks, FastAPI, Azure, Python, Kubernetes, Generative AI, AWS Bedrock, Agentic AI, CI/CD, OpenAI

data warehouses , Master Data Management (MDM), Massively Parallel Processing (MPP) systems, Spark, Metadata Management, Scala, Data Analytics, Data Architecture, Sql, Data Quality, Data Governance, Data lakes, Distributed data management, NoSQL systems, Streaming platforms, Generative AI technologies, Relational Databases, Data Cataloging, Data modeling techniques

data vault , Azure DevOps, Azure Data Factory, Kafka, Power Bi, Azure Synapse, Data Governance, Git, Spark, Microsoft Fabric, ADLS, Real-Time Analytics, Data Cataloging, Dimensional Modelling, CI CD pipelines, Generative AI

Spark, Sql, Python, Data Governance, Pyspark, OCI Data Engineering, Oracle AI Data Platform, Generative AI, Delta Lake

Data Transformation, Sql, Big Data Technologies, ELT, Nosql, Streaming, Rdf, Data Governance, Etl, enterprise semantic catalogs, GQL, Data Processing, owl, automated LLM agent evaluation, data migrations, multimodal data pipelines, compute query optimization, Cypher, Analytics, scalability optimizations, semantic caching, cloud native architecture

Machine Learning, Devops, Cloud Migration, Data Analytics, Building accelerators frameworks, Generative AI, Building and managing COE functions, Reference architectures, Reusable cloud assets, Hands-on architectural knowledge across core AWS services, AWS Cloud technologies, Ai, Cloud governance, Estimation and sizing, Technical Presentations, Cloud transformation, Pre-sales and solutioning, Proposal development, Platform Engineering