amazon emr , Pyspark, Apache Hadoop, S3, RDS, AWS Glue, Dynamodb, Sql, Lambda, Kinesis, Ec2, Amazon Redshift, Spark, Python, Step Functions, Iceberg, Glue, Athena

Azure Data Factory, Scala, Azure Databricks, Python, Sql, Palantir

snowflake , S3, Redshift, Jenkins, Lambda, Spark Streaming, Apache Kafka, Gitlab, Data Governance, Python, AWS, Alation, Glue, Data Quality Mesh

Scala, Spark ecosystem

data engineering , Java, S3, Data Modeling, Etl Development, Scala, Nodejs, Emr, Redshift, Sql, Lambda, Kinesis, Iam, Data Warehousing, Python, Airflow, AWS Step Functions, NoSQL databases, AWS technologies, Glue, Firehose

Data Modeling, Pyspark, Apache Spark, AWS Glue, Sql, Git, Azure Data Factory, Gcp, Docker, Azure Data Lake, Data Warehousing, Azure, Python, AWS, Etl, Airflow, GCP BigQuery

ADLS Gen2 - Lakehouse, snowflake , Azure Data Factory, Power Bi, Scala, Azure Databricks, Python, Sql, DevOps practices

Apache Airflow, Elasticsearch, Apache Spark, Kafka, MongoDB, Data models and storage architectures, Distributed data systems, Vector databases, Data processing performance and optimisation, NoSQL databases, Data pipelines

Power Bi, AWS Glue, Apache Spark, Tableau, Sql, Azure Data Factory, Docker, Azure, Kubernetes, Python, DevOps methodologies, Data governance frameworks, Matillion, Looker, Synapse, dbt, Data quality tools

BigQuery, Data Modeling, Ci, Kafka, Sql, ELT, Apache Airflow, Git, Gcp, Docker, Kubernetes, Python, Etl, cd, Google Cloud Composer