Technical Architecture, AI Machine Learning, Generative AI LLMs RAG, Data Engineering Data Pipelines, MLOps DevOps, Agile Scrum Delivery, Cloud Platforms Azure AWS GCP, Agentic AI Frameworks

Data Modeling, Power Bi, Data Warehousing, Tableau, Data Analytics, azure data platforms

Amazon S3, Pyspark, AWS Glue, Quality, Emr, Data Governance, Data Lake, Data Architecture, Sql, Amazon Redshift, Data Warehouse, Python, Cataloging, Security, Lineage, Lake Formation, Lakehouse architecture, Athena

Sql, Python, Snowflake Data Warehouse, dbt, Fivetran

snowflake , Sql, Databricks, Python, Apache Kafka, Scala, Structured Streaming, AWS Kinesis, Flink

T-sql, PostgreSQL, Mariadb, SQL Server, Kafka, Azure Sql, Azure Data Factory, Terraform, MySQL, Spark, Cosmos DB, Azure, Airflow, Purview, Great Expectations, Synapse, Stream Analytics, ADLS, dbt, Event Hubs, Bicep, Microsoft Fabric, SoDA

S3, Data Warehousing, Data Modeling, Microservices, ELT, Lambda, Python, Aws Services, Redshift, Sql, Kms, Cloudwatch, Iam, Data Governance, Restful Apis, Etl, lineage, API-driven integrations, data quality management, EventBridge, Security, Access Control, lakehouse patterns, Step Functions, DevOps practices, event-driven architectures, Lake Formation, CI CD pipelines, Glue, Athena

Java, BigQuery, Scala, Data Warehousing, Data Modeling, Dataproc, Sql, ELT, Cloud Storage, Data Quality, Data Governance, DataFlow, Python, Etl, cloud security frameworks, Pub Sub, Cloud Composer, lakehouse architectures

Tcp, Mulesoft, Kafka, Json, Http, Avro, Sql, Big Data Technologies, Docker, Xml, Data Warehousing, Kubernetes, Etl, Cloud platforms, NiFi architecture, IBM Sterling, Fabric