Gcp, Azure, Python, Sql, AWS, DataOps, dbt, Data engineering best practices, CI/CD, Data pipelines

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines

snowflake , Github, BigQuery, Kafka, Node.JS, Kotlin, JIRA, Microservices, Git, Typescript, Confluence, Presto, MySQL, Functional Testing, Debugging, Postgres, Spark, Python, Etl, Druid, service-oriented architectures, RESTful API design, SQL databases

Java, S3, Hadoop, Scala, Nodejs, Data Modeling, Emr, Data Governance, Redshift, Sql, Hive, Ec2, Spark, Python, Semantic layers, GenAI solutions, Dashboard data models, Big data pipelines, AWS Tools and Technologies, ETL pipelines

containerization , Storm, Orchestration, Cassandra, Kafka, Informatica, Spark Core, Azure Cloud, Sqoop, Talend, Python, Java, Flume, Scala, Dynamodb, HBase, Kubernetes, Big Data Architecture Patterns, Flink, Pub Sub, Big Table, CI CD pipelines, Pulsar, NiFI

data engineering , Databricks, Dax, Azure Synapse Analytics, Python, Azure Data Factory, Kafka, Azure DevOps, Spark, R, Microsoft Fabric, Purview

data engineering , Google Cloud Platform, Digital Transformation, Cloud Migration, Data Quality, Data Warehousing, Microsoft Azure, Databricks, Data Governance, AWS, Etl, Data Lakes, Data Pipelines, Analytics, Advanced Analytics Platforms, Business Intelligence Reporting, ELT Frameworks

Hadoop Ecosystem, BigQuery, Data Modeling, Big Data Technologies, Dataproc, Cloud Storage, Apache Spark, DataFlow, Scala, Kafka, Airflow, pipeline orchestration

Python, Sql, ELT, Etl, Azure Synapse Analytics, Azure Data Factory, Devops, Git, Scala, Azure DevOps, Azure SQL Data Lake Storage