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raw_eventsstg_usersstg_sessionsdim_customersfct_revenuefct_eventsmart_growthmart_retentionorphan_dagstg_paymentsfct_mrrraw_logs
FAILED
DEGRADED
HEALTHY
● 7 nodes failing
Estimated monthly cost
+$8,400 / mo
in preventable failures
● live
▸ pipeline.audit --live

Paste your DAG.
See what's broken

Drop a DAG config, dbt YAML, or repo URL. Get a complexity score, orphan count, and failure surface in seconds.

YAML / Python / URL
4.2 hrs → 18 min◆Snowflake spend −41%◆23 incidents/mo → 2◆dbt model debt cleared◆Airflow DAGs untangled◆6-figure cloud savings◆Zero-downtime migrations◆BigQuery query costs −63%◆4.2 hrs → 18 min◆Snowflake spend −41%◆23 incidents/mo → 2◆dbt model debt cleared◆Airflow DAGs untangled◆6-figure cloud savings◆Zero-downtime migrations◆BigQuery query costs −63%◆
$2.1M
Warehouse spend recovered
across 14 engagements
94%
Incident reduction
median across clients
6 wks
Average time to resolution
from audit to green
0
Clients who re-broke it
after we handed off
▸ /results

Proof by
evidence.

Every engagement starts with a free audit. These are what happens after the fix.

Airflow + SnowflakeB2B SaaS · Series B
Meridian Analytics
4.2h
Before
→
18m
After
Pipeline Runtime
$127k→$74kMonthly Snowflake Spend

Rebuilt 34 interdependent DAGs, eliminated 12 orphan tasks, and re-partitioned the fact table. The data team stopped getting paged at 3am.

dbt + BigQueryAnalytics SaaS · Series C
Coveo Data
23
Before
→
2
After
Pipeline Incidents / Month
8 days→4 hoursMean Time to Detect

Untangled 180+ dbt models with circular refs. Introduced contract testing and observability. VP Eng stopped writing postmortems every Monday.

Redshift + AirflowRetail Intelligence · PE-backed
Stackline
$340k
Before
→
$200k
After
Annual Warehouse Cost
6.1h→42mDashboard Refresh Latency

Identified $140k in redundant compute from un-clustered tables and zombie queries running every 15 minutes since 2021.

dbt + SnowflakePLG SaaS · Seed→Series A
Hatch Growth
0%
Before
→
99.4%
After
Data Pipeline Uptime
47→6Models Without Tests

Built the entire data infrastructure from scratch — warehouse, transformation layer, orchestration, and observability — in 6 weeks.

▸ /what-we-fix

Five places your
data is bleeding.

01
Pipeline Architecture
AirflowPrefectDagster

Redesign DAG topology from the dependency graph up. Eliminate circular refs, orphan tasks, and fragile sensor chains.

Symptoms
●3am pager alerts
●DAGs timing out
●Backfill nightmares
02
Transformation Debt
dbtSQLMesh

Untangle 100+ model dependency chains, add contract testing, introduce incremental strategies that actually scale.

Symptoms
●dbt run takes 4+ hours
●Nobody owns the models
●Tests at 11%
03
Warehouse Cost Surgery
SnowflakeBigQueryRedshift

Find the zombie queries, un-clustered tables, and auto-suspend misconfigs burning your budget. Then fix them.

Symptoms
●Bill up 40% this quarter
●Zero query governance
●Warehouse never idles
04
Streaming & Kafka
KafkaFlinkSpark Streaming

Consumer lag, partition skew, exactly-once delivery failures. We debug the event stream and harden the topology.

Symptoms
●Consumer lag spiking
●Duplicate events
●Late data in dashboards
05
Observability Layer
Monte CarloSodaGreat Expectations

Build data quality contracts, anomaly detection, and lineage graphs so you know before your CEO does.

Symptoms
●Stakeholders find issues first
●No data SLAs
●Lineage is a mystery
▸ /free-audit

Audit My
Pipeline Free.

Three fields. No sales call required. We run your pipeline through our diagnostic engine and return a full complexity report, dependency graph, and estimated failure surface within one business day.

✓Full DAG complexity score
✓Orphan node & circular ref map
✓Failure surface estimation
✓Top 3 cost-reduction opportunities
✓Recommended fix priority order
1
Repo
2
Warehouse
3
Email
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