Flume, Spark, Programming Languages, Sql, DataFlow, exploratory queries, data pipelines, ETL systems, dimensional data modeling, data infrastructure

PostgreSQL, SQL Server, Data Modeling, Sql, ELT, Azure Data Factory, MySQL, Spark, Databricks, Oracle, Python, Etl, Airflow, data quality checks, lineage, data ingestion pipelines, dbt, metadata

data quality assurance , Database Systems, Data integration techniques, Validation methods, Data pipeline architecture, ETL tools and processes, Performance Testing Strategy, Data storage solutions

Azure Databricks, Numpy, Devops, Git, Azure Functions, Pandas, Flask, Integration Testing, FastAPI, Rest Apis, Python, Scikit-learn, ETL processes, Data Processing

Azure Synapse, Cloud Architecture, Data Warehousing Concepts, Python, Sql, ETL processes, ADLS Gen2

snowflake , Hadoop, Power Bi, Kafka, Data Modeling, Sql, Apache Airflow, Git, Azure Data Factory, Docker, Spark, Python, data integration techniques, Flink, dbt, ETL processes

Github, Google Cloud Platform, Pyspark, Data Warehousing, Sql, Microservices, Devops, Data Governance, Microsoft Azure, Databricks, Python, AWS, automated web services, AI technologies, ETL processes, Data Validation

Views, T-sql, Dashboards, Power Bi, SQL Server, Azure Logic Apps, Performance Tuning, Reports, Azure DevOps, Branching, Azure Data Lake Storage Gen2, Azure Blob Storage, Log Analytics, CI CD, Azure Data Factory ADF, Repos, PRs, Stored Procedures, Metadata-driven ETL ELT Pipelines, Azure Monitor

MS SQL, DB2, Docker, MySQL, Kubernetes, data pipelines, unit integration and end-to-end tests, Gen AI technologies, observability tools, large-scale data processing, CI CD pipelines, containerization and orchestration tools

data warehouses , SAP, API security, Pyspark, Microsoft Power Bi, Kafka, Terraform, Docker, Oracle, Python, Soql, Api Gateway, Aws Lambda, Oauth2, Node.js, Soap, Sql, Git, REST, Spark, Databricks, Kubernetes, data pipelines, Salesforce APIs, API integrations, delta lakes, microservices architecture, webhooks