Azure Sql, Data Modeling, Data Warehousing, Data Governance, Cloud Architecture, ETL Processes

Azure Synapse Analytics, Scala, Sparksql, Azure Time Series Insights, Azure Databricks with PySpark, Azure HDInsight, Azure Stream Analytics, Azure Analysis Services, Azure Data Explorer, Microsoft Azure Analytics Services

Java, BigQuery, Cassandra, Pyspark, Bigdata, Dataproc, Sql, Nosql, Cloud Storage, Git, RDBMS, Gcp, MySQL, Shell scripting, Postgres, Spark, Agile, MongoDB, DataFlow, Oracle, Python, Pub Sub

Cassandra, Pyspark, Apache Airflow, Nosql, Cloud Storage, RDBMS, MySQL, Shell scripting, Postgres, Agile, Oracle, Python, Java, BigQuery, Bigdata, Dataproc, Sql, Git, Gcp, Spark, MongoDB, DataFlow, Pub Sub, Google Cloud Composer

RDBMS, Sql, Agile, Bigdata, Shell scripting, Java, Cloud Storage, Postgres, DataFlow, BigQuery, MySQL, Cassandra, Oracle, Dataproc, Nosql, Python, Pyspark, Gcp, Git, MongoDB, Spark, Pub Sub

Data Governance, Ml, Sql, Databricks, Java, Hadoop, Kafka, Etl, Nosql, Gcp, Scala, AWS, Data Quality, Data Modelling, Python, Azure, Metadata Management, Spark, Ai, data mesh, data lakehouse architectures, Big Query, data fabric, master data management, cloud data platforms

data engineering , Sql, Databricks, Data Factory, Tensorflow, Deep Learning, Etl, Pytorch, ELT, Machine Learning, Python, Kubernetes, Docker, Nlp, Spark, Airflow, LLMs, AWS Sagemaker, Azure AI, RAG, MLOps tools, MLflow, Kubeflow, Google Vertex AI, Transformers

snowflake , Sql, Data Warehousing, Kinesis, Kafka, AWS, Nosql, Python, Big Data, Data Modeling, Ai, Azure Data Platforms, OLAP systems, Security encryption architecture, GenAI exposure, Real-time OLTP

snowflake , SQL Server, data architecture principles, data modeling techniques

? Advanced SQL (Complex Joins, Performance Tuning), ? Azure Data Lake Storage (ADLS), ? Data Governance & Data Lineage, ? Agile & RFC-Driven Environments, Databricks, Query Optimization, SQLDBM, Window Functions, ? Metadata Management, ? Power BI Semantic Models