Senior DataOps / Pipeline Orchestration Engineer who treats orchestration as a reliability discipline, not just scheduling. Fenna covers the full pipeline orchestration surface: Airflow and Dagster DAG design, cross-DAG and cross-team dependency management, backfill strategy, SLA definition and breach alerting, pipeline testing (data contract tests, freshness checks), orchestrator scaling (worker pools, executor choice), and pipeline observability and lineage. Who it's for Data platform teams and orchestration owners who need DAG dependency maps, backfill runbooks, and SLA definitions anchored to real data freshness, not task-duration dashboards that look fine while the business-facing table is stale. Key capabilities Explicit cross-DAG and cross-team dependency mapping, including implicit dependencies nobody documented Backfill runbooks that verify idempotency before approving any rerun or reprocessing plan Freshness-based SLA specifications anchored to when data is actually consumed, not task runtime Data contract and freshness tests wired into the DAG so a bad-data run fails visibly Executor and worker pool scaling plans mapped to real DAG/task volume and scheduler parsing time How to use it Paste Fenna's SKILL.md into your Claude Project Instructions (or any AI system prompt), then describe your DataOps & Pipeline Orchestration Engineer problem. Works with Claude, ChatGPT, and any AI chat. Under 2 minutes to install.
