agent development , Data governance and security considerations, Integrating diverse data sources, Designing scalable data storage solutions, Agentic Design, Python Programming Language, Data modeling techniques

Cloud Data Architecture, MPP and NoSQL databases, Hybrid multi-cloud architectures, Data Engineering Governance

data engineering , data warehouses , Data Architecture, ELT, Devops, Data Governance, Python, AWS, Etl, Streaming Data, identity and data security architecture, analytics platforms, data pipelines, Ai, cloud data platforms

Python, Sql, Data Integration, Metadata Management, Devops, Data Modelling, Data Quality Frameworks, CI-CD Environments

Nosql, Data Modeling, Powerbi, Tableau, Etl Tool, Sql

Sql, Apache Spark, Pyspark, Python, Neo4j, Rdf, Apache Jena, AWS Glue DataBrew, Milvus, Stardog, Airflow, Great Expectations, dbt, Flink, owl, Dagster, Weaviate, pgvector, Pinecone, Chroma, GraphDB

Spark SQL, Storm, Flume, Kafka, Impala, Mapreduce, Pig, Apache Nifi, Lambda Architecture, Rabbitmq, Hive, Linux, Big Query, Airflow, Hadoop v2, HDFS, Data Proc, Cloud Composer, data fusion, GCP cloud platforms, dbt, Data Flow

data engineering , snowflake , Streaming, Bdc, Data Modeling, Databricks, Azure, Solution Architecture, SAP Datasphere, Data engineering patterns, Metadata lineage, Enterprise Data Architecture, Microsoft Fabric, Data quality governance

snowflake , Microservices, Sql, Gcp, Docker, Azure, Python, Kubernetes, AWS, LangChain, embeddings, RAG function tool calling orchestration, Vector databases, retrieval evaluation, CI CD, prompt engineering, LangGraph, LLM agentic solutions, dbt, Cloud-native architecture, LlamaIndex, observability

Spark SQL, Pyspark, Databricks, Databricks SQL, Governance standards, Historical backfill, AI-assisted tools, MLflow, Cutover automation, Delta Live Tables, Schema conversion, Unity Catalog, Delta Lake, Data quality frameworks, Databricks Workflows, Dual-run validation