AI ML concepts or LLM integration, ETL data pipelines, SQL data modelling, Power BI or similar BI tools, Azure OpenAI AI analytics pipelines

Sql, Databricks, Dicom, Apache Spark, Tableau, AWS, Python, Informatica, Hl7, PDPA, MLflow, FHIR, Delta Lake, SageMaker, data governance frameworks

Power Bi, Splunk, Sql, Etl, Elastic, AI ML concepts, LLM integration, Azure OpenAI

Hive, Scala, Spark, Kafka, Python, Sql, DevOps practices

Kibana, Elk, Prometheus, Grafana, Problem Management, Terraform, BigQuery, Machine Learning, Devops, Incident Management, Itil Processes, DataFlow, data analytics platforms, anomaly detection, observability tools, Cloud Composer, IT risk and security concepts, AIOps, observability, intelligent alerting, Ai, automated root-cause analysis, incident summarization, Production Support, CI CD automation, Google Cloud technologies, SRE principles, operational resilience

amazon emr , Apache Airflow, AWS Glue, Apache Spark, Aws Lambda, Pyspark, Linux, Data Quality, Data Governance, Docker, Amazon Kinesis, Terraform, Git, Amazon QuickSight, dbt, AWS DataZone, DataOps, AWS Data Services, Apache Iceberg, AWS Lake Formation, AWS Step Functions

Kibana, BigQuery, Machine Learning, Elk, Prometheus, Grafana, Problem Management, Devops, Terraform, Incident Management, Itil Processes, DataFlow, Ai, CI CD automation, monitoring and observability tools, Cloud Composer, IT risk and security concepts, Google Cloud technologies, SRE principles, AIOps

Java, Apache Hadoop, Data Analytics, C, Google Cloud Platform, Etl Development, automation testing, Data Science, Distributed Systems, Web Technologies, Debugging, Python, Go, data processing frameworks