PostgreSQL, SQL Server, Oracle, Sql, Python, ELT, AWS, Etl, Relational Databases, API integrations

Google Cloud Platform, Kafka, Adobe Analytics, Sql, Cloud deployment, Apache Airflow, Test automation, Google Analytics, Azure, Python, AWS, Cloud migration strategies, Pubsub, OLTP concepts including normalised schema design, Pyspark dataflows, Snowplow Analytics, ETL processes, dbt, OLAP concepts and data model design, Real time streaming pipelines

Data Lineage, Metadata Management, Pyspark, Incident Management, Sql, Data Quality, Data Governance, Python, AWS, ETL operations, Data pipeline scheduling, Control-M, Monitoring

Powershell, Shell, Postgressql, Ms Sql Server, Oracle, Python, Sql, AWS, ELT, Etl

Adf, Sql Queries, Azure Databricks, Data Warehousing Concepts, Python, Java, Scala, SQL Server, Sql, Devops, Azure Data Factory, Databricks, Ms Azure, Cicd, Agile, R, ADLS gen 2, Synapse, Relational data modelling

Data Lake, Apache Spark, Data Modeling, Data Warehouse, Sql, Python, Distributed data processing systems, Pipeline performance optimization, Failure handling and recovery strategies, AI-assisted development tools, Lakehouse, Delta Lake, Cost management in cloud environments, CI/CD practices

RIP (Right Integration Pattern), Java, C#, Golang, Node.js, Azure Data Factory, Azure Data Lake, Databricks, Python, Azure DevOps, AWS, REST API programming, ITIL practices, Azure Blob Storage, Azure SQL Databases, Azure Service Bus, AZ-900, Oracle ecosystem, CI/CD pipelines, oci, Scrum Agile frameworks, Quarkus, DP-900

Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar

data streaming , Azure Databricks, Azure Sql, Azure Synapse, Azure Data Factory, Azure Cloud, Azure Synapse Analytics, Spark, Python, ETL ELT flows, Debezium, Databricks SQL Warehouse, Azure ADLS, Event Hubs, Big Data tools and frameworks, Data Governance Regulations and Compliance, Hadoop Cluster, data querying tools