data discovery , Google Cloud Platform, Kafka, Data Modeling, Data Lineage, Sql, Metadata Management, Python, Data lakehouse principles, Parquet, cdc, SCDs, Streaming architectures, Google BigQuery, Dimensional models, Pub Sub, AI ML use cases, Google Cloud Storage, Data pipelines, Data versioning

data vault , Apache Spark, Kafka, Data Modeling, Data Warehousing, Sql, Dimensional Modeling, Kinesis, Python, S3, Aws Services, Emr, Git, Apache Iceberg, Airflow, Monitoring solutions, Performance optimization, Flink, Delta Lake, Apache Hudi, Data quality frameworks, Infrastructure as Code tools, Schema evolution, Workflow orchestration platforms, Distributed data processing frameworks, Partitioning, Glue, Batch streaming and CDC-based data ingestion pipelines, Athena

Github, PowerShell, Prometheus, Bash, Grafana, Docker, Terraform, Ansible, Splunk, Puppet, Python, Kubernetes, AWS, Chef, Atlassian Jira Cloud

Spark, Sql, AWS, Python, Azure, Gcp, ClickHouse

Kubernetes, AWS, Cloudformation, Java, Python, Docker, Terraform, Go

AWS, Python, Golang, Distributed Systems, Kafka, AWS Mediaservices