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STAGE 01 // ETL

The "Messy Data" Ingestion Engine

Scenario: Client dumped 12GB of unstructured legacy SAP logs, nested JSON documents, and unnormalized SQL dumps with mixed field conventions.

ACCURACY BENCHMARK: 93% / ≥90% Req
ENGINE: GEMINI-1.5-FLASH|TEMP: 0.1
Below are the dynamic mappings inferred by the LLM from the client dump. Refine low-confidence fields (<90%) to reach the required accuracy threshold.
Source EntityInferred Type & SampleTarget Field (CDM)Inferred TransformerConfidenceAction
CUST_NUM_EXTstring (padded)
0009482189
account_id
uuid / string
TRIM_LEADING_ZEROS()96%Verified
TX_VAL_RAWstring (currency)
€ 4.520,50
amount_cents
integer (cents)
PARSE_EUR_TO_CENTS()91%Verified
DT_EPOCH_MSinteger (epoch)
1729019284000
transaction_timestamp
timestamptz (ISO 8601)
TO_ISO8601_UTC()98%Verified
TEL_MOBILE_UNFMTstring (dirty)
+49 (0) 176 892-12-90
phone_e164
string (E.164)
NORMALIZE_E164_PHONE('DE')88%
STATUS_CDenum (SAP legacy)
ACTV_PENDING_KYC
account_status
enum ('ACTIVE' | 'PENDING' | 'CLOSED')
MAP_ENUM_FALLBACK({'ACTV_*': 'ACTIVE'})94%Verified
ADDR_BLOBstring (unparsed)
Friedrichstraße 42, 10117 Berlin, DE
billing_address
object (street, zip, city, country)
LLM_ADDRESS_EXTRACTOR()85%
client_contact_rawstring (rfc822)
Dr. Klaus Mueller <k.mueller@daimler-tech.de>
contact_email
email_address
REGEX_EXTRACT_EMAIL()99%Verified
risk_score_internalfloat_string
0.042
risk_tier
enum ('LOW' | 'MEDIUM' | 'HIGH')
THRESHOLD_BUCKET(0.05 => 'LOW')89%
SIMULATED PIPELINE LOGS (PARSER STREAM)THROUGHPUT: 1,420 rec/sec
[02:14:09] INFO: Ingested 12,500 dirty SAP raw records from GCS bucket
[02:14:10] OK: NORMALIZE_E164_PHONE converted `+49 (0) 176 892-12-90` to `+491768921290`
[02:14:11] OK: PARSE_EUR_TO_CENTS converted `€ 4.520,50` to `452050`
[02:14:12] SUCCESS: Target validation schema verified against OpenAPI 3.1. Zero dropped events.