Building a Scalable Real-time Data Pipeline for Enhanced Customer Insights

Medium Priority
Data Engineering
Travel Technology
👁️10314 views
💬461 quotes
$25k - $75k
Timeline: 12-16 weeks

Our SME travel company seeks to revolutionize its customer engagement approach by leveraging a real-time data pipeline. This project aims to integrate data from multiple touchpoints, providing actionable insights to enhance customer experience and drive personalized marketing strategies.

📋Project Details

In the competitive landscape of travel technology, understanding customer behavior and preferences in real-time is crucial for improving service offerings and increasing operational efficiency. Our company, a mid-sized travel booking platform, currently struggles with disparate data sources that hinder our ability to process and analyze customer data swiftly. We are seeking a skilled data engineer to design and implement a scalable real-time data pipeline. This project will involve integrating numerous data sources—such as booking history, customer feedback, and browsing patterns—using cutting-edge technologies like Apache Kafka for event streaming and Apache Spark for real-time analytics. The pipeline will be structured around a data mesh architecture to enhance data observability and governance. We aim to deploy this solution on a cloud data platform such as Snowflake or BigQuery, ensuring robust, scalable data processing. The ultimate goal is to provide our marketing and customer service teams with timely, actionable insights that boost customer satisfaction and retention rates.

Requirements

  • Experience with real-time data processing
  • Proficiency in Apache Kafka and Spark
  • Familiarity with cloud data platforms
  • Understanding of data mesh architecture
  • Ability to integrate diverse data sources

🛠️Skills Required

Apache Kafka
Apache Spark
Airflow
Snowflake
Data Engineering

📊Business Analysis

🎯Target Audience

Our primary users are internal marketing and customer service teams who require real-time insights to personalize customer engagement strategies and improve service offerings.

⚠️Problem Statement

Currently, our data processing capabilities are slow and fragmented, preventing us from gaining timely insights into customer behavior. This limitation affects our ability to respond effectively to market demands and personalize customer interactions.

💰Payment Readiness

The travel industry is increasingly competitive, with companies investing heavily in data-driven solutions to enhance customer experience. Our target audience is willing to pay for solutions that offer a competitive edge and ensure compliance with industry standards.

🚨Consequences

If we fail to implement a real-time data pipeline, we risk losing market share to competitors who are better equipped to leverage customer data. This could result in decreased customer loyalty and lost revenue opportunities.

🔍Market Alternatives

Currently, we rely on batch processing to analyze historical data, which is not sufficient for real-time decision-making. Competitors are adopting real-time analytics, putting us at a disadvantage.

Unique Selling Proposition

Our approach will focus on integrating a data mesh architecture to improve data observability and governance, differentiating us from competitors who rely on less sophisticated data management strategies.

📈Customer Acquisition Strategy

We will leverage our existing customer base and enhance our marketing strategies using the insights gained from the real-time data pipeline to attract new customers by offering personalized and timely travel solutions.

Project Stats

Posted:July 21, 2025
Budget:$25,000 - $75,000
Timeline:12-16 weeks
Priority:Medium Priority
👁️Views:10314
💬Quotes:461

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