We collaborated with a leading financial institution to develop a robust, enterprise-grade platform through our expertise as a marketplace app development company. The result was a secure, cloud-native multi-vendor marketplace development solution that streamlines the onboarding of external data suppliers, automates trade file ingestion, and enables end-to-end data validation with real-time exception handling. Designed to unify workflows for internal traders, external vendors, and reviewers, the platform features supplier registration, rule-based validation, and seamless integration with Snowflake, Salesforce, and BI tools. Configurable AWS Step Functions and automated alerts further enhance scalability, making it a model for enterprise-grade marketplace solutions.
Vendors were onboarded via disconnected processes, leading to inconsistent access management, unclear ownership, and increased delays in bringing new data sources into the ingestion pipeline.
Trade-related file uploads from external vendors lacked traceability, validation checkpoints, and audit trails, making it difficult to monitor ingestion quality or troubleshoot issues post-submission.
Any data errors or mismatches required manual resolution across teams, creating inefficiencies and increasing turnaround time for file approval and downstream processing in Snowflake and Salesforce.
The absence of data-specific validation logic meant all sources were treated uniformly, leading to inconsistent ingestion quality, missed errors, and operational risks across vendor pipelines.
Internal business reviewers had no centralized dashboard to monitor ingestion health, view errors in real-time, or understand file ownership, resulting in slow and reactive issue resolution.
Notifications and alerts were not standardized across teams, causing missed escalations, confusion over responsibilities, and delayed resolutions of ingestion or validation failures.
There was no orchestration framework to manage ingestion stages, retries, validation checks, or routing to endpoints, resulting in fragmented, error-prone workflows with high manual effort.
Inadequate subnet controls and role permissions raised concerns over data access, system integrity, and compliance, especially when managing sensitive financial trade data across multiple users.
Each business unit built its own ingestion workflows from scratch, leading to duplicated efforts, inconsistent logic, and reduced scalability for onboarding new vendors or data formats.
A cloud-native, enterprise-grade platform for multi-vendor data ingestion, validation, and orchestration—designed for financial automation and adaptable as an online real estate auction bidding website software platform.
We developed a structured onboarding flow allowing secure, role-specific access for vendors while enabling business users to define ownership, data formats, and ingestion routes from day one.
Using AWS Step Functions, we automated data flow management—handling exceptions, triggering rule validations, and implementing retry logic to reduce ingestion failures and processing lags.
Custom dashboards were built to give reviewers real-time visibility into file status, validation outcomes, exceptions, and final push status across all ingestion pipelines.
AWS EventBridge powers modular routing and alert triggers, enabling integration with internal systems while handling complex ingestion workflows through event-based triggers.
We implemented Slack and Email-based alert systems to notify stakeholders of ingestion success, failures, or threshold violations—ensuring timely actions and reducing operational delays.
Our system processes structured files (CSV, XLS) with dynamic schema mapping, ensuring consistency and normalization before moving data into the processing and validation pipelines.
Business users can define and manage validation rules by data type, increasing flexibility and ensuring tailored checks for each vendor and trade-related file format.
Once validated, files are routed seamlessly to Snowflake, Salesforce, and internal staging tables—streamlining access for analytics, reporting, and CRM updates.
The platform supports fine-grained access for roles including Admin, Analyst, Supplier, and Reviewers—ensuring proper visibility, control, and data security across all user types.
React-based inventory components with Redux Thunk logic were integrated to track data tags, processing stages, and unit-level status across different ingestion environments.
Easily onboard external vendors with defined access rights, ownership metadata, and tailored ingestion routes—ensuring seamless collaboration and governance from the start of the data lifecycle.
Supports secure file uploads or pulls via APIs with checksum validation, schema enforcement, and dynamic rule routing for structured, semi-structured, or customized data files.
Enables rule-based validations at multiple checkpoints, allowing business-specific logic and conditional data checks before downstream processing or exception escalation.
Offers real-time visibility into file success rates, schema mismatches, ingestion errors, and downstream syncs—enabling faster decision-making and enhanced control for business reviewers.
Built on AWS Step Functions and EventBridge, this layer modularizes ingestion tasks, automates retries, and routes data intelligently based on status, rules, and file context.
Allows business users to review parsed records, identify anomalies, flag incomplete entries, and escalate issues—ensuring data quality before reaching final systems.
Provides granular control across roles such as Admin, Supplier, Business Reviewer, and Analyst—supporting secure workflows with role-specific dashboards and permissions.
Valid trade data is automatically pushed to Snowflake, Salesforce, and BI systems—keeping analytics, CRM, and operational workflows in sync.
Multi-channel alerts via Slack, Email, and internal queues notify stakeholders about ingestion events, validation failures, or thresholds—keeping teams aligned and responsive.
Uses React-based UI components and Redux middleware to tag, track, and reconcile trade data units across ingestion stages and environments—ensuring transparent and efficient inventory handling.
Node.js
Redux-Saga
React 18
NestJS
By automating validation, orchestration, and downstream routing, the platform slashed manual coordination, reducing the average approval time by 80% across file types and vendor pipelines.
The system detects and reports rule breaches or file issues instantly, allowing teams to act quickly on ingestion failures and minimize delays or data discrepancies.
A unified onboarding and ingestion framework ensures consistency across departments and vendor sources—streamlining governance, validation, and deployment for all incoming trade data.
The platform supports structured, semi-structured, and custom file types—empowering scalable onboarding of new vendors and data formats with minimal development effort.
Validated data is routed in real time to Snowflake and Salesforce, reducing sync errors, duplication risks, and improving the integrity of analytics and CRM systems.
The architecture sets a blueprint for future service marketplace app development—enabling expansion into new data domains without reengineering the core ingestion logic.
Role-based dashboards and dynamic exception flags empower business reviewers to resolve issues faster, improve throughput, and maintain high data quality standards.
Granular access control and secure orchestration reduce exposure to data mishandling, unauthorized access, and manual error risks—ensuring compliance with internal and external policies.
Reusable configurations and workflows streamline future vendor onboarding, reducing duplication and accelerating implementation timelines for similar data pipelines.
Partner with DITS to build scalable, secure, and automated data platforms that streamline vendor onboarding, ingestion, and enterprise-wide trade operations.
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