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Industry · BFSI

Data Engineering for Banking & Financial Services

Legacy modernization, regulatory lineage, and compliance-grade data masking — delivered for major financial institutions with 10TB+ migrations and 100% data integrity.

Problems We Solve

Industry Challenges

Nightly batch windows that block the business

10-hour processing windows delay reconciliation and reporting for the entire bank. We refactor legacy SSIS/Oracle estates to PySpark — one institution's window dropped to under 120 minutes.

Regulators demand provable lineage

Audit teams need column-level lineage from source to report. We deliver regulatory lineage platforms that pass audits — see our Regulatory Lineage case study.

Sensitive data everywhere

Engineers need realistic data; compliance forbids real PANs and PII. Our dynamic masking engines sustain 12M+ records/minute with PCI-DSS and SOX compliance.

Transformation sprawl

Hundreds of undocumented ETL jobs nobody dares touch. We rebuilt one bank's platform as 560+ governed dbt models — runtime down from 6.5 hours to 87 minutes, costs down 63%.

Proven In Production

Measured Results

10TB+
Migrated
100% data integrity
80%
Faster processing
10h → 120 min
12M+
Records/min masked
PCI-DSS · SOX
Evidence

Related Case Studies

Enterprise Legacy Modernization

Oracle/MSSQL + SSIS → PySpark at bank scale

View Details →

Regulatory Lineage

Audit-ready lineage reporting

View Details →

dbt at Scale: 560+ Models

Banking dbt platform · 63% cost cut

View Details →
Questions, Answered

Banking & Financial Services FAQ

Can you modernize our core banking data estate without downtime?
Yes — we run new pipelines in parallel with legacy systems, reconcile row counts, checksums, and business-metric parity daily, and cut over only when both agree. Our 10TB+ banking migration reported 100% data integrity through this method.
How do you handle PCI-DSS and SOX requirements?
Masking in every non-production environment (12M+ records/minute engines), immutable audit trails, role-based access, and lineage from source to regulatory report. Compliance is designed in, not audited in afterwards.
Do you understand banking reconciliation workflows?
Yes — daily recon is usually the first thing legacy modernization unblocks. Cutting one bank's nightly window by 80% moved reconciliation from afternoon to before market open.
Which banks or institutions have you worked with?
Client names are confidential under NDA, but engagements include a major financial institution's full legacy modernization and a banking group's 560+ model dbt platform — both documented with verifiable metrics in our case studies.
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