S3, Github, Aws Redshift, Pyspark, SQL Server, Sql, Apache Airflow, Oracle Db, Lambda, MySQL, Etl Tools, Databricks, Python, AWS, Airflow, Amazon MWAA, Databricks Workspaces, NoSQL Databases, Glue, Notebooks, Delta Lake APIs

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

enterprise data modeling , snowflake , Data security and privacy, Bi Tools, Power Bi, Cloudformation, Data Lineage, Sql, Metadata Management, Terraform, Python, AWS, Airflow, Infrastructure as Code, Lakehouse architectures, Data mesh, Semantic layers, Looker, Scalable distributed data processing, Data product design, ELT frameworks, Data quality frameworks

, Yarn, Java, Presto, Google Cloud, Kafka, AWS, Redis, Node.JS, Hive, Cassandra, Python, Azure, Golang, MongoDB, Spark, Airflow, HDFS, Map-Reduce, NoSQL databases, TiDB

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

snowflake , Metadata Management, Sql, Databricks, Tableau, Pyspark, Azure Machine Learning, Kafka, Spark Streaming, Power Bi, Adf, Data Modelling, Adb, Data Governance, Performance Tuning, Python, Synapse, Cognitive Services, Azure OpenAI, Event Hubs, Azure Data Services, data observability, Azure SQL Data Lake, Microsoft Fabric, dimensional vault

Data Analytics, Data Security, Classification, audit readiness, tagging, Cataloging, AWS cloud platform solutions, data pipelines, discoverability, Governance, attribute-based access patterns, Compliance, GDPR regulations, lineage, data engineering tech stack, metadata capabilities