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

Apache Spark, Cloud data platforms and services, Databricks Unified Data Analytics Platform, ETL processes, Data governance frameworks, Python Programming Language, Data integration tools, Data modeling techniques

snowflake , Java, Scala, Kafka, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Etl, Data Warehouse, Metadata Management, Aws Redshift, Hadoop, Data Modeling, ELT, Azure Synapse, Spark Streaming, Distributed Systems, Data Governance, Oozie, Data Integration, Data Lake, Airflow, NoSQL databases, Google BigQuery, cloud ecosystems

cloud platform , Kafka, Data Modeling, Data Governance, Data Warehouse, ELT, Nosql, Python, AWS, BigQuery, Apache Spark, Data Warehousing, Sql, Gcp, Amazon Redshift, Data Lake, Databricks, Azure, Etl, Medallion Architecture, Trino, Data access management, Data marketplace, Big Data Architecture, Distributed data processing, Data Lakehouse, rbac, Data lake technologies

Data Modeling, Adf, Spark, ADLS, Azure Data Tech stack

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

Azure Synapse Analytics, Python, Spark PySpark, SQL and relational databases, Azure DevOps CI CD pipelines, Azure Data Factory complex pipeline orchestration, Azure Storage Data Lake ADLS Gen2, ETL ELT frameworks and data modeling concepts, performance tuning and large-scale data processing, Azure Data Engineering ecosystem, Azure Databricks advanced implementation optimization

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