Joseph McGuire
AI/ML ENGINEER
Data Pipeline Development
data-engineering
big-data
automation
Data Pipeline Development
I build efficient, scalable data processing pipelines that transform raw data into actionable insights, enabling data-driven decision making for your business.
What I Offer
- ETL Pipeline Development: Design and implementation of Extract, Transform, Load processes for efficient data handling.
- Real-time Data Processing: Building streaming data solutions for immediate insight generation.
- Data Warehousing: Setting up and optimizing data warehouse structures for analytical workloads.
- Batch Processing Systems: Development of high-throughput batch processing for large datasets.
- Data Quality Assurance: Implementation of validation and monitoring systems to ensure data integrity.
Process
- Requirements Gathering: Understanding your data sources, volumes, and analytical needs.
- Architecture Design: Creating a robust technical architecture that meets your requirements.
- Incremental Implementation: Building the solution in stages to allow for feedback and adjustments.
- Testing & Optimization: Rigorous testing for performance, scalability, and reliability.
- Documentation & Training: Comprehensive documentation and knowledge transfer to your team.
Technologies & Tools
- Python, SQL, Shell scripting
- Apache Spark, Kafka, Airflow
- AWS/Azure/GCP data services
- Docker, Kubernetes
- Relational and NoSQL databases
Why Choose My Services
My approach to data pipeline development focuses on creating maintainable, scalable solutions that grow with your business. I emphasize clean code practices, comprehensive testing, and detailed documentation to ensure your data infrastructure remains valuable in the long term.
I have experience working with datasets ranging from gigabytes to terabytes, implementing solutions that balance performance, cost, and complexity according to your specific needs.
Interested in this service?
Let's discuss how I can help with your specific needs.
Request This Service