You will get Data Pipeline & API Integration
Project details
You'll get a custom Python data pipeline that moves your data from where it is to where you need it — reliably, on schedule, and with proper error handling so it doesn't silently break at 3am.
I build production data infrastructure that processes millions of rows across multiple sources in my own work, so the pipelines I deliver aren't fragile demo scripts. They're built with connection retry logic, data validation, gap detection, intelligent caching, and logging that tells you exactly what happened on every run.
Common projects I handle: pulling data from REST or WebSocket APIs into databases or spreadsheets, transforming and normalizing messy data from multiple sources into a clean unified format, building ETL pipelines that run on a schedule with monitoring, connecting SaaS platforms together (CRM to spreadsheet, payment API to dashboard, etc.), and migrating or backfilling historical data.
Tech stack: Python, pandas, NumPy, asyncio for concurrent API calls, REST and WebSocket clients, PostgreSQL/SQLite, CSV/Parquet/JSON, cron scheduling, webhook-based alerting. I work fast, scope clearly, and build things that don't break.
I build production data infrastructure that processes millions of rows across multiple sources in my own work, so the pipelines I deliver aren't fragile demo scripts. They're built with connection retry logic, data validation, gap detection, intelligent caching, and logging that tells you exactly what happened on every run.
Common projects I handle: pulling data from REST or WebSocket APIs into databases or spreadsheets, transforming and normalizing messy data from multiple sources into a clean unified format, building ETL pipelines that run on a schedule with monitoring, connecting SaaS platforms together (CRM to spreadsheet, payment API to dashboard, etc.), and migrating or backfilling historical data.
Tech stack: Python, pandas, NumPy, asyncio for concurrent API calls, REST and WebSocket clients, PostgreSQL/SQLite, CSV/Parquet/JSON, cron scheduling, webhook-based alerting. I work fast, scope clearly, and build things that don't break.
Programming Languages
PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$1,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 2 | 3 | 5 |
Number of Sources Mined/Scraped | 1 | 4 | 5 |
Install Script | |||
Test Script | |||
Task Automation | - |
Frequently asked questions
About David Harris
Python Automation & API Integration Specialist | Trading Systems, Bots
Gainesville, United States - 2:18 am local time
What I Deliver:
Custom bots (Telegram, Discord, Trading, Scraping)
REST/WebSocket API connectors and data pipelines.
Automated processes including scheduling, alerting, and error recovery.
Financial/trading tools include backtesting engines, position trackers, and market data processors.
Web scraping and data extraction at scale.
Dashboard MVPs and Internal Tools
Technology: Python, pandas, NumPy, asyncio, REST/WebSocket APIs, Interactive Brokers API, different market data APIs, Linux/cron automation, and rudimentary React frontends as needed.
I scope closely, communicate properly, and ship quickly. If you need anything automated, linked, or developed from scratch, email me the information and I'll tell you exactly how I'd go about it and how long it would take.
Steps for completing your project
After purchasing the project, send requirements so David Harris can start the project.
Delivery time starts when David Harris receives requirements from you.
David Harris works on your project following the steps below.
Revisions may occur after the delivery date.
Data Source Audit & Architecture
I review every data source and destination, map out the full pipeline flow, and send you a clear technical plan covering how data moves from A to B.
Build, Test & Validate
I build the pipeline with transformation logic, error handling, and data validation. I test against real data and verify output matches your requirements exactly.