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

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

snowflake , Apache Airflow, Python, Sql, AWS, dbt

snowflake , Data Modeling, Power Bi, Pyspark, PostgreSQL, AWS Glue, Kafka, Impala, Sql, Hive, Terraform, Python, AWS, Airflow

snowflake , BigQuery, Qlik, Tableau, Data Warehousing, Redshift, Sql, Etl, ELT, MicroStrategy APIs, Microstrategy

Java, S3, Amazon Web Services, RDS, Scala, Data Modeling, Emr, Data Warehousing Concepts, Sql, Kinesis, Sqs, Spark, Python, Airflow, Building data pipelines

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