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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 Enterprise AI & Data Engineer | CRM/ERP | Azure/AWS
Little Rock, United States - 7:00 am local time
I help companies connect Salesforce, HubSpot, NetSuite, Snowflake, and other business platforms through enterprise AI, reliable data pipelines, and intelligent automation.
I work on the difficult layer between enterprise systems: moving data accurately, applying business logic, introducing AI where it creates value, and making the entire workflow reliable in production.
**CRM Intelligence**
Salesforce and HubSpot often contain valuable customer information, but maintaining that data and turning it into action can require significant manual effort.
I build integrations and AI-assisted workflows that can qualify leads, enrich records, classify customer requests, summarize interactions, recommend next actions, synchronize data, and trigger follow-up processes.
The goal is a CRM that actively supports sales, marketing, and customer operations—not one that simply stores records.
**ERP Automation**
I connect NetSuite and custom ERP systems with databases, analytics platforms, APIs, document workflows, and external services.
This can include automating order and inventory updates, processing business documents, synchronizing financial data, handling approvals, validating transactions, and delivering ERP information to reporting platforms.
I design these integrations with audit trails, validation rules, error handling, retries, and monitoring so they can support real operational processes.
**Enterprise Data**
AI and automation cannot compensate for unreliable data.
I design ETL and ELT pipelines that collect information from CRM, ERP, marketing, sales, product, and operational systems. That data is cleaned, tested, modeled, and delivered to platforms such as Snowflake, BigQuery, Redshift, and PostgreSQL.
My data-engineering work includes Python, SQL, dbt, Apache Airflow, APIs, batch processing, real-time ingestion, warehouse modeling, automated validation, and data-quality monitoring.
The outcome is a trusted data foundation for reporting, analytics, automation, and AI.
**Enterprise AI**
I introduce AI into existing business environments without requiring companies to replace the systems they already depend on.
This includes Retrieval-Augmented Generation, enterprise knowledge assistants, document intelligence, semantic search, information extraction, classification, summarization, and AI-powered workflow decisions.
A typical solution might retrieve information from internal documents, combine it with CRM or ERP data, apply AI and business rules, request human approval when necessary, and write the result back to the appropriate system.
I account for the requirements that make enterprise AI useful in production: permissions, citations, data security, retrieval quality, monitoring, evaluation, and human oversight.
**Marketing and Customer Analytics**
I also build analytics environments that connect advertising, CRM, sales, customer, and revenue data.
These systems help teams understand campaign performance, customer journeys, acquisition funnels, attribution, pipeline movement, user behavior, and revenue outcomes. Reporting can be delivered through Power BI, Tableau, Looker Studio, or custom dashboards.
**Technical Environment**
My core stack includes Python, FastAPI, Django, Node.js, C#, .NET, PostgreSQL, Snowflake, dbt, Airflow, Azure, AWS, Docker, Kubernetes, REST APIs, and microservices.
I can work across architecture, data modeling, backend development, integration, automation, cloud deployment, testing, monitoring, and production support.
Clients typically bring me in when they need to:
• Connect CRM, ERP, and data platforms
• Add enterprise AI to existing workflows
• Build a reliable Snowflake or cloud data environment
• Automate manual reporting and data processing
• Develop an enterprise RAG or knowledge system
• Modernize fragile integrations and legacy pipelines
• Create a unified view of customer and operational performance
I approach each engagement by first understanding how information moves through the business, where teams lose time, and which decisions depend on that data.
From there, I design a system that connects the right platforms, automates the right steps, and gives the organization data it can trust.
The result is an enterprise technology environment where CRM, ERP, data, and AI operate as one coordinated system.
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.