Real-time Project Performance Monitoring through Data Engineering

High Priority
Data Engineering
Project Management
👁️18047 views
💬793 quotes
$15k - $50k
Timeline: 8-12 weeks

Our scale-up project management firm seeks a skilled data engineer to develop a robust real-time project performance monitoring system. The goal is to integrate cutting-edge data engineering technologies to enable real-time data collection, processing, and visualization that will empower project managers with actionable insights. This enhancement aims to improve decision-making and resource allocation by leveraging the latest trends in data mesh and MLOps.

📋Project Details

The project involves creating a sophisticated data pipeline to aggregate and process project management data in real-time. The system should utilize Apache Kafka for event streaming, ensuring seamless data flow from various project management tools into a centralized platform like Snowflake or BigQuery. From there, Spark and Airflow will be employed to process and orchestrate data for immediate analytics. The integration of dbt will ensure that our data transformation processes are transparent and version-controlled. Additionally, the chosen solution must incorporate features for data observability to monitor and debug data flows efficiently. The project will also explore the integration of MLOps practices to build and deploy machine learning models that can predict project risks and optimize timelines. The end product will be a dynamic dashboard providing project managers with real-time analytics, supporting better resource allocation and timely decision-making.

Requirements

  • Experience with real-time data processing and event streaming
  • Proficient in setting up and managing data pipelines using Apache Kafka and Spark
  • Strong understanding of data transformation and orchestration tools like Airflow and dbt
  • Ability to integrate data observability tools
  • Experience with cloud data warehouses such as Snowflake or BigQuery

🛠️Skills Required

Apache Kafka
Spark
Airflow
dbt
Snowflake

📊Business Analysis

🎯Target Audience

Target users are project managers and team leads across various departments seeking enhanced data-driven insights for effective project execution and resource management.

⚠️Problem Statement

Project management teams lack real-time visibility into project performance, leading to inefficient resource allocation and delayed decision-making. This gap in data-driven insights results in reduced productivity and project delays.

💰Payment Readiness

The market is ready to invest in solutions that offer real-time analytics due to the competitive advantage it provides in optimizing project delivery and resource management.

🚨Consequences

Failure to solve this problem will result in continued inefficiencies, higher operational costs, and potential revenue losses due to delays and mismanaged resources.

🔍Market Alternatives

Current alternatives include manual data aggregation and delayed reporting, which do not provide the necessary real-time insights and are prone to human error.

Unique Selling Proposition

Our solution offers real-time project insights powered by advanced data engineering practices and MLOps, setting it apart from other static analysis tools. The integration of event streaming and data observability ensures robust and timely data flow.

📈Customer Acquisition Strategy

Our go-to-market strategy involves targeting project management software users through direct outreach, webinars, and partnerships with project management tool providers to demonstrate the value of real-time analytics in improving project outcomes.

Project Stats

Posted:July 21, 2025
Budget:$15,000 - $50,000
Timeline:8-12 weeks
Priority:High Priority
👁️Views:18047
💬Quotes:793

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