T-sql, Data Modeling, Pyspark, Sql, Git, Python, Azure DevOps, Claude Code, Claude, GitHub Copilot, Stored Procedures, Microsoft Fabric, Fabric Notebooks, Data Warehouse Lakehouse, Azure Data Lake Storage Gen2 ADLS Gen2, Azure Data Factory ADF

Kafka, Streaming, Presto, Spark, Airflow, cdc, ClickHouse, batch ETL, Iceberg, Hudi, Delta, Dagster, Trino

Azure Data Factory, Power Bi, Spark, Python, Sql, Synapse, DevOps practices, MS Fabric, Microsoft Azure Data Lake

snowflake , Apache Airflow, Pyspark, Azure cloud services, Sql, Python, Etl, Spark SQL, T-sql, Rest Apis, CI CD automation, ELT frameworks, Delta Lake, Unity Catalog, Databricks notebooks, DevOps workflows, Databricks Lakehouse platform, Delta Live Tables, Databricks Workflows

Gdpr, Tableau, Tensorflow, Encryption, Pytorch, Python, AWS, Java, Scala, Sql, Data Quality, Gcp, Powerbi, Spark, Data Governance, Databricks, Azure, scikit-learn, lineage, SigmaComputing, Generative AI, Transformers, LLMs, deep learning frameworks, ensemble methods, rbac, Microstrategy, Sox

snowflake , change data capture , time travel , Data Modelling, Data Factory, Snowpipe, Sql, ELT, Devops, Data Warehousing, Data Governance, Azure, Python, AWS, Etl, Ml, DataOps, rbac, Generative AI, Ai, Secure Data Sharing, Fail-Safe

Apache Airflow, Pyspark, Databricks, Advanced Sql, Python, Etl, Cloud Platforms, dbt

Mqtt, Cloud Devops, SSIS, Data Integration, Sql, Devops, Git, Azure Data Factory, Databricks, Microsoft Azure, Python, Data Engineering Architecture, Data Lakes, CI CD

data discovery , Performance Tuning, Kafka, Data Modeling, Slas, Data Lineage, Python, Google Cloud Platform, Clustering, Sql, Metadata Management, Data lakehouse principles, Streaming architectures, Google BigQuery, Partitioning, Data pipelines, Parquet, Incremental processing, Feature engineering workflows, Dimensional models, Data quality and observability practices, SLOs, Google Cloud Storage, Pub/Sub, Data versioning

Spark, Java, BigQuery, MySQL, PostgreSQL, Scala, Kafka, Redshift, Sql, Python, Flink