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Python & Data Engineering Services

We build scalable data pipelines, AI-powered analytics platforms, and custom Python solutions that turn raw data into business intelligence.

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Python data pipeline Production-ready
Python services
FastAPI, Django, Flask, async workers\
API
Data pipelines
AWS Lambda, Batch, S3, RDS, retries\
10K+
AI analytics
RAG, vector DBs, dashboards, OCR\
LLM

What We Do

JetBI combines 15+ years of enterprise consulting experience with modern Python engineering to deliver data-intensive solutions at scale. We work with companies that need to process large volumes of structured and unstructured data — from cloud-based ingestion pipelines to AI-integrated analytics dashboards. 

Our Python expertise spans backend development (FastAPI, Django, Flask), distributed data processing, AI/LLM integration with RAG pipelines, automation workflows, and reporting. We apply the same reliability and engineering standards we use in our Salesforce and SAP practices to every data project. 

Every project is staffed with a senior developer, tech lead for architecture review, and QA engineer — no juniors learning on your project.

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15+
years of enterprise consulting
60+
specialists in delivery teams
5 days
business days to start

Service Cards

Custom Python Development

Backend services with FastAPI, Django, Flask, and DASH. REST and GraphQL APIs with JWT/OAuth2, role-based access, async workers (Celery, RQ), PostgreSQL/MySQL/MongoDB

Data Pipelines & ETL

Design and deployment of scalable ingestion and transformation pipelines on AWS (Lambda, Batch, S3, RDS) with idempotent processing and retry logic. Multi-tenant fan-out, delta syncs, staging databases.

AI & LLM Integration

OpenAI, Anthropic Claude, Gemini, Grok APIs. RAG pipelines with vector DBs (Pinecone, Weaviate, pgvector), LangChain/LangGraph, multi-agent systems, custom chatbots, document Q&A, OCR.

Automation & Workflows

n8n automation pipelines, web scraping (Playwright, Selenium), scheduled jobs, third-party API integrations (Stripe, Twilio, Salesforce, HubSpot, Slack). Processing 10K+ records daily.

Analytics Platforms & BI

End-to-end analytics platforms: data warehouse design, query optimisation, and web-based dashboards (Next.js / React / TypeScript) connected to PostgreSQL.

Cloud Architecture (AWS / GCP)

Serverless and containerised architectures: Lambda, Batch, S3, RDS, Docker. GitHub Actions, AWS/GCP/DigitalOcean, Nginx, monitoring with Sentry.

Systems Integration

Salesforce, HubSpot, Commerce7, and other platform integrations via Python middleware. Multi-tenant routing, configuration-driven field mapping, idempotent sync mechanisms.

Data Strategy & Consulting

Audit of existing data infrastructure, tooling recommendations, architecture reviews, and migration planning.

Technology Stack

Python 3.12
FastAPI, Django, Django REST Framework, Flask
Frameworks
FastAPI, Django, Django REST Framework, Flask
Cloud
AWS Lambda, AWS Batch, Amazon S3, Amazon RDS (PostgreSQL), GCP, DigitalOcean
Integration
boto3, REST APIs, GraphQL, SSL/TLS, OAuth 2.0
AI & ML
OpenAI API, Anthropic Claude, Gemini, Grok, LangChain, LangGraph, RAG pipelines, Pinecone, Weaviate, pgvector
Automation
n8n, Celery, RQ, Play games, Selenium
Frontend
Next.js, React, TypeScript
Database
PostgreSQL, MySQL, MongoDB, relational warehouses
DevOps
Docker, GitHub Actions, Nginx, Sentry, containerised batch jobs, serverless orchestration

Our Approach

A 4-step timeline for predictable delivery, reliable architecture, and long-term scale.

  1. 01

    Discovery

    We assess your data sources, volumes, and business goals to scope the right solution.

  2. 02

    Architecture

    We design a pipeline and storage strategy built for scale, reliability, and cost control.

  3. 03

    Development

    Iterative delivery with CI-style feedback, tested components, and operational guardrails.

  4. 04

    Support & Scale

    Ongoing monitoring, performance tuning, and feature expansion as your data grows.

Case Study Preview

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Large-Scale Data Analytics with AI

Analytics platform processing thousands of image samples and large message corpora per session. Built on AWS Lambda + Batch + S3 + RDS (PostgreSQL), with integrated vision and language models for automated classification and summarisation. Delivers queryable timelines and derived features via a Next.js dashboard.

  • Python
  • AWS
  • AI/ML
  • PostgreSQL
  • Analytics
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Salesforce to Commerce7 — Multi-Tenant Data Migration

Automated data migration pipeline connecting a single Salesforce CRM to 17 Commerce7 e-commerce tenants across multiple wine and beverage brands. Python pipeline with PostgreSQL staging layer, per-tenant routing configuration, idempotent sync mechanism, and per-tenant failure isolation.

  • Python
  • PostgreSQL
  • Salesforce API
  • ETL
  • Systems Integration

Why JetBI for Python & Data

Enterprise-Grade Standards

Same reliability and process discipline we bring to Salesforce and SAP implementations.

AI-Ready Architecture

RAG pipelines, multi-agent systems, and LLM integrations built for production from day one.

Enterprise Security Mindset

HIPAA, GDPR, SOC2 awareness on every engagement.

Certified & Trusted

Clutch Top CRM & Salesforce Company 2024. Partner since 2013.

Senior-Only Execution

Every project staffed with a senior developer, tech lead, and QA engineer. No juniors learning on your project.

Transparent Cost Control

Budgeted model calls, sampling strategies, and quotas — AI at scale without surprise bills.

English-Speaking PM

Clear communication, daily updates, weekly demos, async-friendly.

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Senior delivery from discovery to scale

Architecture review, QA involvement, clear demos, and enterprise delivery practices applied to Python, data, BI, and AI workloads.

Ready to scale your data?

Tell us about your project — we have resources available to start within 5 business days.

Get in Touch