Pyspark, AWS Glue, data pipeline development, ETL processes, data integration techniques, data quality frameworks

Data Governance, ETL process design, cloud-based data storage solutions, Snowflake Data Warehouse, data quality best practices, Data Build Tool, data pipeline architecture

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

Orchestration, Data Warehousing, Schema Design, Json, Automated Testing, ELT, Python, Csv, Apache Spark, Sql, Git, Sftp, Cloud Storage, Xml, Data Governance, Databricks, Rest Apis, Etl, non-relational database connectivity, relational database connectivity, Parquet, flat-file transfers, Delta Lake, CI/CD

Java, Hadoop, Scala, Nodejs, Big Data Technologies, Emr, Data Modeling, Sql, Hive, Spark, Python, ETL pipelines

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

Git, Power Bi, Pyspark, Databricks, Dax, Sql, Python, Etl, ELT, Azure DevOps, Microsoft Fabric

.NET, data engineering , C#, Metadata Management, Adf, Data Architecture, ELT, Nosql, Javascript, Data Lake, Python, Data Modelling, Sql, Devops, Data Quality, Data Governance, Databricks, Azure, Etl, lakehouse, data pipelines, model training, model deployment, agile delivery, warehouse design, Synapse, ML fundamentals, Azure Data Engineering, CI/CD