data integration techniques and best practices, Databricks Unified Data Analytics Platform, scripting and automation to streamline data workflows, data quality and consistency, complex data models, big data processing, distributed computing frameworks, data pipeline development and management within cloud environments

snowflake , S3, Aws Lambda, PostgreSQL, Prometheus, AWS Glue, Grafana, Jenkins, Git, Shell, DB2, Cloudwatch, Docker, Terraform, Python, Apache Hudi

Cloud security, Iso27001, Vulnerability Management, Docker, Terraform, Cloud Migration, Cryptography, Kubernetes, Infrastructure as Code, SOC2 controls, Secure development lifecycle practices, OWASP methodologies

Terraform, Agile Methodologies, Gitlab, Azure, Azure DevOps, Azure Enterprise Scale Landing Zones

Java, Scala, Kafka, Sql, Git, Spark, Kubernetes, Python, Airflow, Nessie, Flink, Iceberg, Polaris

snowflake , BigQuery, Redshift, Git, Gcp, Terraform, Api, Python, AWS, Astro, GitHub Actions, dbt, CI/CD

snowflake , AWS, Databricks, Encryption, PowerShell, Rest Apis, Python, Bash, Iam, Terraform, Microsoft Azure, Azure DevOps, governance compliance frameworks, rbac

Load Balancing, Cloudformation, Bash, Vpc, Dns, Code, Jenkins, Terraform, Ansible, ECS, Gitlab, Security Groups, Azure, Kubernetes, Python, AWS, Go, Claude, GitHub Copilot, GitHub Actions