data engineering , Data Warehousing, Databricks, Data Modeling, Azure, AWS, LLMs, enterprise data architecture, Microsoft Fabric, AI architecture

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

snowflake , S3, Sql, Databricks, Azure Data Factory, AWS, Python, Gcp, Spark, Airflow, ADLS, Delta Lake, dbt

Azure Functions, SQL Server, T-sql, Microsoft Azure, Azure DevOps, GitHub Actions, Service Bus, Microsoft Entra ID, Azure App Services

Sql, Databricks, Pig, Pl Sql, Impala, RDBMS, Kinesis, Hadoop, Pyspark, AWS, Etl, Cassandra, Hive, Unix Shell Scripting, Python, Azure, Neo4j, Terraform, Apache Kafka, Git, MongoDB, Spark, CircleCI

snowflake , Adb, Adf, Power Bi, Pyspark, Kafka, Tableau, Sql, Spark Streaming, Databricks, Python, Azure SQL Data Lake, Synapse, Event Hubs, Microsoft Fabric, Azure Data Services

platform development , Integration Architecture, Data Migration Methodology, Data Quality Reconciliation, Platform Security Data Governance, ETL Data Integration Tools, Data Architecture Modelling, Salesforce Data Cloud, Consent Compliance Data Architecture, Salesforce Platform API Development, Identity Resolution Design

platform development , Integration Architecture, Data Migration Methodology, Data Quality Reconciliation, Platform Security Data Governance, ETL Data Integration Tools, Data Architecture Modelling, Salesforce Data Cloud, Consent Compliance Data Architecture, Salesforce Platform API Development, Identity Resolution Design

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