You will get a scalable data pipelines
Rising Talent
Rising Talent
Project details
I help businesses design and build reliable, scalable, and production-ready data and backend systems. With strong expertise in Data Engineering, Backend Development, and DevOps, I deliver end-to-end solutions that turn raw data into actionable insights and stable, high-performance applications.
Whether you need ETL/data pipelines, API development, database architecture, cloud infrastructure, or CI/CD automation, I focus on building systems that are secure, scalable, and easy to maintain.
My approach combines clean engineering practices with modern cloud and DevOps tools (AWS, Docker, Kubernetes, CI/CD pipelines) to ensure your system is not only functional but also optimized for performance and long-term growth.
I work closely with clients to understand business goals and translate them into efficient technical solutions that reduce complexity, improve reliability, and support scale.
You will receive high-quality, production-ready work with clear communication, clean documentation, and a focus on long-term maintainability.
Whether you need ETL/data pipelines, API development, database architecture, cloud infrastructure, or CI/CD automation, I focus on building systems that are secure, scalable, and easy to maintain.
My approach combines clean engineering practices with modern cloud and DevOps tools (AWS, Docker, Kubernetes, CI/CD pipelines) to ensure your system is not only functional but also optimized for performance and long-term growth.
I work closely with clients to understand business goals and translate them into efficient technical solutions that reduce complexity, improve reliability, and support scale.
You will receive high-quality, production-ready work with clear communication, clean documentation, and a focus on long-term maintainability.
Data Tool
PythonWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 3 days
- Number of Pages Mined/Scraped 1
- Number of Sources Mined/Scraped 2
- Number of Revisions 1
About Donald
Senior Data & Backend Engineer | DevOps | Python, Cloud, Microservices
Little Rock, United States - 6:21 am local time
I help data-driven companies move beyond fragile scripts and inconsistent reporting. Whether it’s real-time streaming, batch processing, or end-to-end cloud-native systems, I deliver solutions that scale, are observable, and fully documented.
Core competencies:
- Data | backend architecture: End-to-end pipeline design, API-driven services, event-driven microservices
- Cloud | DevOps: AWS, GCP, or Azure; containerization (Docker, Kubernetes); CI/CD pipelines; monitoring and alerting
- Data warehousing | transformation: Snowflake (performance tuning, RBAC, cost optimization), dbt (models, macros, tests, documentation, incremental strategies)
- Orchestration | workflow management: Apache Airflow (DAGs, sensors, operators, error handling, SLA monitoring)
- Programming | integration: Python (async, API integrations, pandas/polars), advanced SQL (CTEs, window functions, query tuning), microservice design
- Data reliability | observability: Data quality frameworks, anomaly detection, reverse ETL, logging, metrics, and automated testing
I’ve partnered with startups, scale-ups, and enterprises, delivering pipelines and backend systems powering BI tools, ML models, and production services. You get robust, tested, and maintainable systems that can run 24/7 without surprises.
Typical projects I deliver:
- Full Snowflake + dbt + Airflow modern data stack implementation
- Microservices and backend APIs optimized for scale and observability
- Production-ready Python ETL pipelines with automated testing
- Migration from legacy ETL or batch systems to cloud-native, open-source stacks
- Data quality, testing, and documentation integrated into workflows
Upwork focus: Reliable delivery, clear communication, and well-documented, maintainable code.
Steps for completing your project
After purchasing the project, send requirements so Donald can start the project.
Delivery time starts when Donald receives requirements from you.
Donald works on your project following the steps below.
Revisions may occur after the delivery date.
Development & Implementation
Build ETL pipelines, backend APIs, database structures, and cloud/DevOps infrastructure.