Gcp, Scala, Apache Spark, Databricks, Azure, Python, AWS, Ml, Distributed Computing, MLops, CI/CD, Ai, Spark architecture

Java, Servicenow, Scala, Sql, Apache Airflow, Python, Incident Management, Production Data Operations, Data lakes, Observability frameworks, Distributed data processing systems, Databricks job monitoring, Data quality controls, Validation frameworks, Performance optimization, Cloud-based data platforms

Sql, ELT, Etl, Data Governance, Python, Git, Logging, Data Transformation, Monitoring, R, LLM-based information extraction

SAP, Hadoop, Power Bi, PostgreSQL, Apache Spark, Informatica, Sql, Microservices, ELT, Hive, DevSecOps, Docker, Talend, Kubernetes, Python, Etl, Sharepoint, Podman

Kafka, Aws S3, Kinesis, Pyspark, Cloudformation, Spark SQL, Kubernetes, Python, Docker, Terraform, Jenkins, PostgreSQL, MongoDB, Redshift, Deequ, Airflow

snowflake , Pyspark, Databricks, Sql, ELT, Apache Airflow, Apache Spark, Kafka, AWS, Etl, Kubernetes, Python, Terraform, Docker, Git, PostgreSQL, Redshift

Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Github, Power Automate, Pyspark, Kafka, Sql, Databricks, MongoDB, Cosmos DB, Data Modelling, Azure, Python, Azure DevOps, Data Catalogue, Build and release pipelines, Microsoft Power Platform, Master Data Management