Hadoop, Pyspark, Scala, Apache Spark, Aws Redshift, Python, Sql, Airflow, AWS EMR

Pyspark, Spark, Databricks, Python, Azure Data Engineering

Pyspark, Distributed Systems, Data Modeling, Data Warehousing Concepts, Python, Sql, DevOps practices, Agile environments

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

Performance Tuning, Scala, Data Modeling, Data Governance, Sql, ELT, Git, Azure Data Factory, Azure Functions, Azure Synapse Analytics, Python, Etl, Azure DevOps, Logic Apps, Azure SQL Data Lake Storage, CI/CD pipelines

snowflake , Pyspark, Sql, ELT, Git, Gcp, Spark, Databricks, Azure, Python, AWS, Etl, lakehouse, Warehouse, DataOps

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

Kafka, Sql, Spark, Python, AWS, Data Modeling, Dimensional Modeling, dbt, Incremental and idempotent transformation patterns, ETL/ELT pipelines, CDC-based ingestion, Slowly changing dimensions