Azure Data Factory, Pyspark, Databricks, Sql, Azure DevOps, CI CD workflows, ADLS Gen2, Event Hub, Azure-native technologies, Azure SQL Database

Spark SQL, Pyspark, Apache Spark, Sql, Git, Hive, Linux, Hiveql, Data Modelling, Python, Hadoop Hdfs, Apache Iceberg, Parquet, Distributed-system troubleshooting, Spark performance tuning, Source-to-target mapping, Hive Metastore, Large-volume ETL data migration, Data validation reconciliation

Java, BigQuery, Hadoop, Data Modeling, Kafka, ELT, Microservices, Data Quality, Hive, MLops, Spark, Databricks, Data Governance, Python, Kubernetes, Etl, Airflow, HDFS, Delta Lake, CI/CD

.NET, snowflake , Data Quality, React, Data Modeling, Apache Kafka, Python, Sql, AWS

Terraform, Cloudformation, Pyspark, Sql, AWS data stack, CI/CD, IaC

Power Bi, Pyspark, Agile Scrum, Tableau, Databases, Git, Data Warehousing, Informatica Powercenter, Python, Airflow, Data Lake concepts, Advanced SQL and performance tuning, IICS, dbt, CI/CD

BigQuery, Sql, Apache Flink, Hive, Python, Pyspark, Kafka, Spark, dbt, Apache Iceberg, Apache Hudi, Delta Lake

snowflake , Github, Data Modeling, Cloudformation, Sql, Apache Airflow, Terraform, Data Warehousing, Python, AWS Cloud Services, dbt, CI CD Pipelines

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

Mqtt, Cloud Devops, SSIS, Sql, Data Integration, Devops, Git, Azure Data Factory, Databricks, Microsoft Azure, Python, Data Engineering Architecture, Data Lakes, CI CD