Python Expertise
: Advanced coding skills including performance tuning, concurrency (async/multiprocessing), testing, and packaging.
Linux Systems
: Deep knowledge of kernel/OS tuning, networking, filesystem optimization, process management, and troubleshooting.
Dynatrace Proficiency
: Experience with custom dashboards, KPIs, anomaly detection, tagging strategies, and alert configurations.
Airflow Expertise
: Strong understanding of DAG design, SLA management, scheduler/executor tuning, and scaling strategies.
Proven experience optimizing batch workloads for performance, reliability, and cost efficiency.
Solid understanding of distributed systems concepts such as retries, idempotency, backpressure, and data integrity.
Strong backend systems and database optimization skills.
Proficiency with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins) and Infrastructure as Code (Terraform, Ansible).
Hands-on experience with containers and orchestration (Docker, Kubernetes).
Excellent incident management and root cause analysis capabilities.
Strong communication and collaboration skills.