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Hapinam/README.md

Mohamed Dawood

Senior DevOps, Platform, Cloud & Infrastructure Engineer

I work across cloud infrastructure, Kubernetes, CI/CD, infrastructure as code, observability, reliability, and enterprise database platforms. My background spans more than 17 years in infrastructure engineering, evolving from Oracle Database and WebLogic administration into multi-cloud operations, DevOps, SRE, and platform engineering.

Engineering focus

  • Cloud & Platform: Azure, AWS, GCP, Oracle Cloud, Kubernetes, Kyma, OpenShift, Docker
  • Infrastructure as Code & Automation: Terraform, Ansible, GitHub Actions, Jenkins, Azure DevOps
  • Reliability & Observability: SRE, incident response, root-cause analysis, Dynatrace, Splunk, Prometheus, Grafana, Kibana
  • Database & Middleware: Oracle Database, RMAN, RAC, Data Guard, performance tuning, Oracle E-Business Suite, WebLogic
  • Security & Operations: IAM, production security, cloud security, infrastructure reliability, PCI-DSS

Featured repositories

Production-oriented Oracle Database administration toolkit covering operations, security, recovery, Data Guard, RAC, performance, and maintenance.

Diagnostics and tuning scripts for AWR, sessions, execution plans, SQL plan management, statistics, tracing, and shared-pool analysis.

RMAN toolkit for backup and recovery operations, recovery catalogs, archivelog maintenance, reporting, and disk/SBT workflows.

Cross-platform operations toolkit covering Linux, Unix, AIX, HP-UX, Windows, and infrastructure administration.

DBA utilities for Oracle E-Business Suite environment checks, Workflow diagnostics, notification analysis, and Concurrent Manager administration.

Educational Python and pandas recommender-system demos using correlation-based analysis of book and movie datasets.

Engineering journey

My repositories reflect the technical foundation behind my broader infrastructure work: deep database and operating-system experience, production troubleshooting, automation, and reliability engineering. That foundation now extends into cloud-native platforms, Kubernetes, infrastructure as code, CI/CD, observability, and SRE practices.

I value operational simplicity, secure-by-default automation, useful observability, and engineering systems that make production environments easier to operate and recover.

Pinned Loading

  1. ML ML Public

    Educational Python recommender-system demos using pandas and correlation-based analysis of book and movie datasets.

    Python

  2. Oracle_Ebusiness Oracle_Ebusiness Public

    Oracle E-Business Suite DBA toolkit for environment checks, Workflow diagnostics, notification analysis, and safe Concurrent Manager administration.

    Shell

  3. Oracle_Operations Oracle_Operations Public

    Production-oriented Oracle Database administration scripts for operations, security, recovery, Data Guard, RAC, performance, and maintenance.

    PLSQL

  4. Oracle_Performance Oracle_Performance Public

    Oracle Database performance diagnostics and tuning scripts for AWR, sessions, execution plans, SQL plan management, statistics, tracing, and shared pool analysis.

    PLSQL

  5. Oracle_RMAN Oracle_RMAN Public

    Oracle Database RMAN toolkit for backup, recovery catalog, archivelog maintenance, backup reporting, and disk/SBT backup operations.

    Shell

  6. OS_scripts OS_scripts Public

    Cross-platform OS operations toolkit for AIX, Linux, HP-UX, Windows, and Unix administration used in DBA and infrastructure operations.

    Shell