Java, Database Design, Data Modeling, Data Governance, Python, AWS Analytics, Data warehousing concepts and architecture, ETL processes, Data quality frameworks, Data pipelines

Google Cloud Platform (GCP), BigQuery, Sql, ELT, Apache Airflow, Cloud Storage, DataFlow, Python, Etl, Data Modeling, Data Warehousing, Data Integration, Cloud Composer, Looker Studio, LookML, DataOps, CI/CD, Pub/Sub, Pipeline Optimization

snowflake , composer , Migration, ELT, Terraform, Python, AWS, Java, BigQuery, Integration, Scala, Redshift, Git, Hive, Bitbucket, Spark, Data Lake, Data Warehouse, Azure, Etl, Airflow, Data Proc, Pub Sub, Data Flow, Code commit, Cloud Functions, GCP Certification, GCS

Pyspark, Microsoft Sql Server, Azure Databricks, ELT, Git, Azure Functions, Azure cloud services, Oracle, Python, Spark SQL, Data Warehousing, Sql, Jenkins, Azure Data Factory, FastAPI, RDMS, Etl, SQL functions, CI/CD processes, Azure Data Fabric, API Gateway management, DevOps lifecycle, NoSQL databases, Stored procedures, Azure Databases, Azure Lake Gen 2

Orchestration, Pyspark, Data Warehousing, Kafka, Data Modeling, ELT, Streaming, Python, AWS, Sdp, Apache Spark, Sql, Databricks, Etl, data integration patterns, Debezium, Lakehouse architecture, cloud-native data services, Lakeflow Connect, Schema Registry, Auto Loader, production-grade data pipelines, Unity Catalog, Spark Declarative Pipelines, Karapace, Databricks Asset Bundles, Kafka Connect, Delta Lake