Connect Every Data Source Into
One Reliable Pipeline
Financial institutions run on dozens of disconnected systems — core banking, payment gateways, CRMs, compliance tools. We build ETL pipelines that unify all of it into a single, trustworthy data layer your teams can actually use.
Source Connectivity
Data Quality
Latency & Freshness
Error Recovery
Where Data Integration Changes Everything
Real business scenarios where fragmented data costs real money — and integration fixes it.
Core Banking Data Consolidation
Merge transaction feeds from multiple core banking systems into a unified ledger view — eliminating reconciliation delays that hold up daily settlement.
BankingPayment Gateway Aggregation
Combine data from Stripe, Razorpay, and legacy processors into one normalized stream so finance teams see a single truth for all payment flows.
FinTechRegulatory Reporting Pipelines
Build automated ETL flows that pull from 15+ source systems and produce audit-ready regulatory reports — cutting preparation from weeks to hours.
Financial ServicesE-commerce Order & Inventory Sync
Sync order data, warehouse inventory, and logistics tracking across platforms so fulfillment teams work from one accurate dataset.
RetailPatient Records Unification
Consolidate EHR data from multiple hospital systems into a normalized patient timeline — improving care coordination and reducing duplicate tests.
HealthTechWhat Our ETL Solutions Handle
From batch ingestion to real-time streaming — our integration layer adapts to how your data actually moves.
Batch & Real-Time Ingestion
Support both scheduled batch loads and event-driven streaming pipelines. We design for your actual latency requirements, not a one-size-fits-all pattern.
Data Cleansing & Normalization
Deduplication, format standardization, and validation rules applied inline — so downstream consumers always receive clean, consistent records.
Pre-Built Connector Library
Ready connectors for 80+ common enterprise systems — Salesforce, SAP, Oracle, Snowflake, Kafka, REST APIs, SFTP feeds, and legacy flat files.
Schema Evolution Handling
Automatic detection and adaptation when source schemas change — no more broken pipelines at 2 AM because a vendor added a column.
Data Lineage & Audit Trails
Full traceability from source to destination. Know exactly where every record came from, when it was transformed, and what rules were applied.
Alerting & Self-Healing
Smart monitoring that detects anomalies, retries failed records, and escalates only when human intervention is genuinely needed.
How We Build Your Integration Layer
Source Inventory & Mapping
We catalog every data source, document schemas and access patterns, and map the logical relationships between systems.
Pipeline Architecture Design
Choose the right orchestration engine, define transformation logic, and design error-handling flows before writing any pipeline code.
Build & Transform
Develop extraction connectors, transformation rules, and loading procedures — with unit tests on every transformation step.
Validation & Load Testing
Run pipelines against production-volume datasets to verify accuracy, throughput, and recovery behavior under real conditions.
Deploy & Monitor
Production deployment with observability dashboards, SLA tracking, and automated alerting — plus a 4-week stabilization period with our team on standby.
Still Manually Moving Data Between Systems?
Let us audit your current data flows and show you where automation eliminates the bottlenecks.
Book Free ConsultationData integration done right pays for itself in months.
Our ETL solutions eliminate manual data wrangling, reduce reconciliation errors, and give every team access to the same trusted numbers — on time, every time.
What Sets Our Integration Work Apart
We have built data pipelines for banks, payment companies, and regulated industries where getting it wrong isn't an option.
Why Teams Choose Us for Data Integration
We have seen what breaks at scale — and we engineer pipelines that don't.
Let's Map Your Data Integration Needs
Tell us about your current data landscape and we'll respond within 24 hours with an initial approach — no cost, no commitment.
23 Source Systems Unified Into One Analytics Layer
Data Integration for MeridianPay's Analytics Platform
How we consolidated 23 disconnected data sources — including legacy mainframe feeds, REST APIs, and SFTP drops — into a real-time analytics platform that finance and compliance teams now rely on daily.
A data landscape held together by spreadsheets
MeridianPay's analytics team spent 60% of their time manually pulling data from different systems, reconciling formats, and fixing broken exports. Monthly regulatory reports required 11 business days of manual preparation.
Our Approach: 8-week engagement: source cataloging and schema mapping in weeks 1-2, pipeline architecture and connector development in weeks 3-6, validation testing and production cutover in weeks 7-8 — with a 4-week stabilization period post-launch.
Frequently Asked Questions
Most projects run 6-10 weeks from kickoff to production. Simple integrations (5-8 sources) can go live in 4 weeks. Complex environments with legacy systems and regulatory requirements typically need 10-12 weeks.
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