data vault , data products , kimball , Metadata Management, Pyspark, Azure Databricks, ELT, Quality, Data Governance, Data Modelling, Power Bi, Azure Data Factory, Spark, Data Lake, Rest Apis, Etl, Purview, lineage, Google BigQuery, Security, SQL Warehouses, Lakehouse architectures, Data APIs, Unity Catalog, dimensional modelling, Dataplex, Databricks Delta Sharing

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

Pyspark, Spark, Databricks

Data Modeling, Power Bi, Database Administration, Data Integration, Sql, Azure Sql, Nosql, Azure Data Factory, Data Visualization, Etl, Query Performance Tuning, Synapse Analytics, Database Migration Service

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

data engineering , Data Analytics, Aws Services, Data Processing, Data quality assessments, Cloud data warehouses, data infrastructure, Data lakes, data models, Master data management