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DE · Business Process Automation & AI

Technical & Data Capabilities

The engineering underneath the automation: Python services, API integrations, database ingestion, scheduled batch jobs and data pipelines — built to run unattended, with logging and alerts so you know when they do not.

Start a project 5–18 business days
Technical & Data Capabilities
What we cover

Technical & Data Capabilities services

13 services
  1. 01

    Python Development & Scripting

    Custom Python for processing, integration and automation work.

  2. 02

    REST API Integration

    Consuming and connecting REST APIs, including auth, retries and error handling.

  3. 03

    JSON / XML / CSV Data Processing

    Parsing, validating and converting common interchange formats.

  4. 04

    MongoDB Data Integration & Automation

    Ingestion, querying and automated maintenance against MongoDB.

  5. 05

    MySQL Data Integration & Automation

    Ingestion, querying and automated maintenance against MySQL.

  6. 06

    Pandas-based Data Processing

    Tabular processing, reconciliation and analysis in pandas.

  7. 07

    Excel Report Automation

    Generating formatted Excel output from processed data.

  8. 08

    Scheduled Jobs & Batch Processing

    Batch work that runs to a schedule, with logging and alerting.

  9. 09

    Data Pipeline Development

    Pipelines that move data from source to destination reliably.

  10. 10

    Source-to-Database Data Ingestion

    Getting data from its origin into your database in a repeatable way.

  11. 11

    Data Transformation & Business-rule Processing

    Applying your business rules consistently as data moves through.

  12. 12

    Automated Monitoring, Logging & Failure Alerts

    Knowing a job ran, what it did, and when it did not.

  13. 13

    Third-party API and Data-source Integration

    Integrating external providers and data sources into your stack.

What's included

  • Technical review of sources, systems and volumes
  • Pipeline or integration deployed and scheduled
  • Transformation and business-rule processing
  • Monitoring, logging and failure alerting
  • Source code and operating runbook

How it's scoped

Share the systems involved, the data volumes and how current the data has to be. We confirm the approach, build the pipeline or integration, run it alongside whatever exists today until the output reconciles, then hand over the code and a runbook so your team can operate it.

Python & pandas
REST API integration
MongoDB / MySQL
Scheduled pipelines
Staffed 24 hours, Monday to Friday

Full-time teams in Chile and India, about nine hours apart. Chile covers your working day; India picks the file up as you sign off, so weekday work does not wait overnight.

Senior-level quality on every assignment

We do not run a lower tier for smaller projects. This work gets the same senior attention as our largest engagements, whether it is a one-page flyer or a client portal.

Send your brief, get it quoted.

First project quoted at a special discount

Start a brief