Sql, Python, Data Modeling, ETL ELT, Apache Iceberg, AWS Data Services

Github, Power Bi, Pl Sql, Tableau, Informatica, Sql, Unix Shell Scripting, Git, Python, Aws S3, Etl, data quality controls, Oracle databases, CI CD pipelines, Control-M

Pyspark, Scala, PostgreSQL, Apache Spark, Sql, ELT, Apache Airflow, Git, Docker, Data Warehousing, Python, Etl, AWS Step Functions, Lakehouse Architecture, R

Ml, Java, Hadoop, Scala, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, Ai, Warehousing, ETL pipelines

snowflake , Python, Spark, Hive, FastAPI, Airflow

BigQuery, Apis, Dataproc, Sql, ELT, Gcp, Dynatrace, Splunk, DataFlow, Python, Etl, data quality frameworks, Monitoring, Pub Sub, Cloud Composer, dbt, Cloud SQL, GCS

snowflake , Version Control Systems, Unix, Hadoop, Apache Spark, Kafka, Windows, Redshift, Sql, Linux, Plsql, Azure Machine Learning, Python, AWS

SAP, Pyspark, Data Governance, Data Modeling, Sql, ELT, Gcp, Azure Data Lake, Spark, Oracle, Python, AWS, Etl, Data bricks

Java, Git, Rest Apis, Gcp, Azure, Kubernetes, Python, Sql, Cognite Data Fusion®

data preparation , DataEngineer, Feature Engineering, Model Deployment, Senior Data Engineer with AI/ML, S3 Glue EMR Redshift Lambda, ? AWS SageMaker experience, ? Kafka or Kinesis for real-time streaming, ? MLOps and CI/CD for ML pipelines, ? Power BI integration with cloud-based data platforms and large-scale datasets