Big Data Technologies, Data Warehousing, Dataproc, Python Programming, Google Cloud Platform GCP, Cloud Composer, SQL PostgreSQL, Cloud Pub Sub, ETL Development Data Pipelines, Large Dataset Processing

snowflake , Aws Lambda, Amazon Redshift, Amazon S3, Pyspark, AWS Glue, Data Warehousing, Python, Etl, ELT, Scalable Data Pipelines

Data integration and ETL concepts, Databricks Unified Data Analytics Platform, Cloud-based data storage and processing solutions, Building and managing scalable data pipelines

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 engineering , Automation, Data Integration, Sql, ELT, Data Quality, Data Warehousing, Data Governance, Etl, Data Transformation, Problem-solving skills, Continuous Improvement, Cloud-based Data Platforms, Troubleshooting, Collaboration, Stakeholder Management, Production Support

Servicenow, Cloud Watch, Data Warehousing Concepts, Informatica, Lambda, Ec2, Oracle, Python, AWS, Pyspark, Github, Dynamodb, Sql, DataStage, ECS, Sqs, Spark, Elastic Search, Gitlab, Databricks, Airflow, ETL technologies, Step Functions, EKS, Glue, Elastic Cache

Apache Airflow, Git, BigQuery, Data Warehousing Concepts, Python, Sql

snowflake , Data Modeling, Databricks, Data Warehousing, Python, Sql, Etl, Orchestration frameworks, Data pipeline workflow automation, Git-based version control