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Secure File Transfer & Automated ETL Pipeline Enterprise Data Engineering Case Study

A secure, automated ETL platform engineered to process high-volume files, transform data, and synchronize clean datasets across enterprise applications with zero downtime.
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Project Snapshot

Client

Data-driven Enterprise

Industry

Finance, Enterprise Data Management

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

Duration

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

Technology Stack

A robust and scalable technology foundation powering seamless performance and future-ready growth

Backend & Processing

  • Python
  • Node.js
  • Flask

Cloud Infrastructure

  • AWS S3
  • AWS Lambda
  • AWS RDS
  • CloudWatch
  • IAM Roles + KMS encryption

Security

  • Encrypted logs
  • Icon_24px_CloudAuditLogs_Color Audit trails

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

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Our team builds robust ETL pipelines, secure file transfer systems, and high-performance backend workflows for enterprises worldwide.
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