Data Quality, Data Governance, Databricks, Azure, Architectural thinking

snowflake , RDS, Amazon Kinesis, Dynamodb, Apache Spark, AWS Glue, Emr, Sql, Apache Airflow, Lambda, Terraform, Amazon Redshift, Apache Kafka, Databricks, Python, AWS, Athena

data engineering , regulatory standards , Gcp, Databricks, Tableau, Power Bi, AWS, Data Architecture, Qlik, Azure, Hl7, data models, regulatory submission processes, data pipelines, GxP data compliance, cdisc, audit requirements, xEVMPD, IDMP, cloud-based data platforms, ectd, ELT tools

data engineering , Soap, Sql, Odbc, Azure Data Factory, Xml, Databricks, Data Governance, Rest Apis, Python, JDBC, dbt Core, Event-driven Integration, Data Quality Testing, Azure Integration Hub

Devops, Hadoop, Scala, Spark, Databricks, Azure, Python, Sql, AWS

snowflake , Spark, Databricks, Azure, Python, Sql, AWS, cloud data platforms

Devops, Hadoop, Scala, Spark, Databricks, Azure, Python, AWS, Etl, ELT, Delta Lake

data engineering , snowflake , BigQuery, Advanced Analytics, Power Bi, Apache Spark, Kafka, Tableau, Redshift, Sql, ELT, Azure Synapse, Etl, Machine learning model operationalization, Data governance frameworks, Data cataloguing, dbt, Agile Scrum delivery methodologies, Microstrategy

snowflake , Azure Synapse, Spark, Databricks, Sql, Python, data observability tools, vector databases, Azure Fabric