Prince2, Waterfall, Power Bi, Tableau, Gcp, Agile, Databricks, Azure, AWS, Data Visualization Tools, Project Management Methodologies, Cloud Platforms, Machine Learning Concepts, Pmp

data engineering , Databricks, Data Modeling, Data Warehousing, LLMs, Microsoft Fabric, AWS data ecosystem, Enterprise data architecture, Applied AI solution design, AI technology stacks

Data Modeling, Pyspark, Databricks, Microsoft Azure, Sql, Data Configuration, Enterprise Data Architecture, Lakehouse Data Warehouse Architecture, Microsoft Fabric, Large-scale SAP Data Migration Integration

Pyspark, Spark, Data Governance, Python, Sql, Generative AI, Delta Lake, Oracle AI Data Platform, OCI Data Engineering

Data Modeling, Sql, Python, Performance Tuning, Machine Learning, Data Architecture, Analytics

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

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

, 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 , Power Bi, Apache Spark, Dimensional Modeling, Tableau, Apache Airflow, Data Quality, Data Warehousing, Databricks, Data Governance, Lakehouse Architecture, ETL ELT, Medallion Architecture, Data Ingestion and Integration, AWS Data Services, Semantic and Data Consumption Layers, dbt, Azure Data Services, Data Orchestration

Apache Spark, Kafka, Devops, Automated Testing, AWS, Flink, Iceberg, Trino, Delta Lake, AI-powered platforms, LLMs, retrieval-augmented generation, observability, vector data architectures