snowflake , Jenkins, Liquibase, Jira, Release management, Advanced Sql, Agile development methodology, Source code management, Modern data warehousing principles and practices, Data Analysis

Kubernetes, Sql, Databricks, Apache Spark, Kinesis, Tableau, Kafka, Power Bi, AWS, Python, Azure, Docker, Terraform, Gcp, Delta Lake architecture, MLflow, Looker, ETL frameworks, Feature Store, DevOps best practices, Databricks SQL, data security compliance, governance best practices

Kafka, Databricks, S3, Apache Airflow, Emr, Lambda, Kinesis, AWS, Spark, Redshift, Lake Formation, Athena, Dms, MLflow, infrastructure as code, MWAA, Delta Live Tables, Delta Lake, Glue, Databricks SQL, Unity Catalog

Java, T-sql, Hadoop, Scala, Pyspark, Autosys, Sql, Jenkins, Git, Azure Data Factory, Sqoop, Pl-sql, Spark, Oozie, Microsoft Excel, Python, Optimization of data model, Azure ingestion from on-prem source, curation, DATA Ingestion, Semantic Modelling

Azure Databricks, UNIX

data engineering , Databricks, Pyspark, Python, Java, Data Integration, Microservices, Rest Apis

Azure Databricks, Databricks, Bigdata, Notebooks, Spark-Scala

Aws Services, Databricks, Data Warehousing, Docker, Kubernetes, Spark/Python

DataBricks, Azure Synapse, Azure Data Factory, Azure, AWS, data bricks, Data Lake storage, Data Explorer, Azure Blob Storage

Spark Streaming, Databricks, Sql, Apache Spark, Pyspark, Kafka, Spark SQL, Python, Azure, Git, Azure DevOps, Spark optimization, Big Data tools, Data Lakes, Event Hubs, Databricks Lakehouse, Delta