Designing and optimizing data pipelines, Data storage solutions and performance tuning, Data Architecture Principles, Data quality consistency and governance, Data integration and migration techniques

Power Bi, Pyspark, Pl Sql, Azure Databricks, Data Architecture, Power Query, Sql, Git, Azure Data Factory, Azure Data Lake, Dax, Oracle, Python, Azure DevOps, Azure Fabric

Data Modeling, Power Bi, Pyspark, Azure Databricks, Sql, Data Integration, ELT, Azure Data Factory, Terraform, Azure Synapse Analytics, Agile, Data Lake, Azure Cloud Services, Scrum, Data Governance, Python, Azure DevOps, Etl, CI CD Pipelines, Pipelines, Delta Lake

Apache Airflow, Docker, Scala, Apache Kafka, Apache Spark, Azure, Kubernetes, Sql, AWS

Azure Cosmos DB, Azure Synapse Analytics, Data Modeling, SQL query optimization, Azure SQL Database

snowflake , Gcp, Pyspark, Spark, Databricks, Azure, Python, Sql, AWS, ELT, Etl

data discovery , Metadata Management, Kafka, Slas, Data Modeling, Python, Data Lineage, Google Cloud Platform, Sql, Query Optimization, Data Quality, Clustering, cdc, data pipelines, observability practices, dimensional models, Google BigQuery, data versioning, Pub Sub, data lakehouse principles, streaming architectures, Parquet, SCDs, AI ML use cases, SLOs, partitioning, Google Cloud Storage