Secure File Transfer & Automated ETL Pipeline Enterprise Data Engineering Case Study
Project Snapshot
Industry
Service Category
Backend Engineering + Cloud + ETL Automation
Solution Type
Secure File Transfer + ETL Data Pipelines
Tech Stack
Python, Node.js, AWS S3, AWS Lambda, RDS, Cron Jobs, Encryption
Data Volume
50k–150k files per day
Status
Live & Fully Automated
4 Months
About the Project
The client needed a secure and automated system to ingest, validate, transform, and store large volumes of files received from multiple internal and external sources. Manual file transfers were creating delays, errors, compliance risks, and inconsistent reporting.
Inexture built a fully automated ETL + file transfer ecosystem with enterprise-grade security, real-time notifications, and scalable cloud infrastructure.
Client Requirements
- Secure file upload, download & retention
- Encryption for data in transit & at rest
- Automatic mapping & transformation of raw file formats
- Schedule-based and real-time ETL execution
- Retry & error-handling pipelines
- High availability for ingestion
- Data validation & cleansing rules
- Logging, auditing & compliance support
Challenges We Solved
- Highly inconsistent file formats across sources
- Large daily file volume causing processing delays
- No existing infrastructure for tracking errors or retries
- Required secure transfer for confidential financial datasets
- Needed auto-scaling solution without increasing costs
- Required flexibility for future ETL workflows
Our Solution & Architecture
Inexture architected a secure, cloud-native ETL system using automated schedulers, containerized processors, and real-time notifications.
Automated ETL Pipeline
- Auto ingestion from secure endpoints
- Schema validation & cleansing
- Transformation & mapping logic
- Processed output delivered to destination systems
Secure File Transfer Module
- SFTP & HTTPS digital transfer channels
- AES-256 at-rest encryption
- TLS 1.2/1.3 during transit
Scalable Cloud Infrastructure
- AWS S3 for storage
- AWS Lambda for serverless processing
- AWS RDS for structured datasets
- CloudWatch for logs & monitoring
Advanced Workflow Automation
- Scheduled CRON triggers
- Event-driven ETL executions
- Multi-stage process orchestration
Secure ETL Platform – Functional Architecture
A functional view of secure file intake, validations, transformation pipelines, audit logging, and governed dataset publishing for enterprise consumption.
Secure File Transfer & Data Pipeline Workflow
This workflow details encryption, access controls, transfer validation, ETL processing, exception handling, and downstream delivery with traceability.
Technology Stack
A robust and scalable technology foundation powering seamless performance and future-ready growth
- AWS Lambda
- Python
- Node.js
- Flask
- AWS S3
- IAM Roles + KMS encryption
- CloudWatch
- AWS RDS
- Encrypted logs
- Audit trails
Secure ETL Platform - Infrastructure Architecture
A scalable infrastructure architecture showing secure storage, compute, orchestration, monitoring, and compliance-ready logging across the ETL lifecycle.
Measurable Outcomes
- 100% automation of manual file transfers
- 80% faster processing of daily ETL workloads
- 150k+ files processed per day with scalable serverless architecture
- Zero data-loss incidents with full fault tolerance
- Compliant with enterprise-grade security (AES, TLS, IAM)
- Real-time dashboards for tracking ingestion, errors, and throughput
Industries We Serve
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