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CRM Enterprise Data Quality

Python Developer

ActivePrime πŸ‡ΊπŸ‡Έ Mountain View, California
πŸ“… June 2020 β†’ November 2020 (6 months)

$ echo $IMPACT_METRICS

6 CRM Platforms
TDD Methodology
Billions Records Analyzed

$ cat tech-stack.json

⚑ Core Technologies

PythonFlaskREST APIs

πŸ”§ Supporting Stack

PyTestPandasSQLiteBDD (Cucumber/Gherkin)Vue.jsjQuery

☁️ Infrastructure & DevOps

DockerSalesforceDynamics 365OracleNetSuiteSiebelSugar CRM

$ cat README.md

ActivePrime’s CleanData platform uses AI for duplicate detection, deduplication, and data synchronization β€” serving hundreds of enterprise customers and analyzing record volumes in the billions.

I maintained and enhanced legacy CRM integrations, building backend tooling that connected diverse enterprise systems and improved data quality across platforms.

$ git log --oneline responsibilities/

β†’
Developed Flask-based Python services and REST APIs to support CRM plugins across 6 major platforms
β†’
Utilized Pandas and SQLite for efficient data transformations and tooling
β†’
Implemented PyTest unit tests and BDD frameworks (Cucumber/Gherkin) for quality assurance
β†’
Extended web UIs with Vue.js and jQuery for data management interfaces
β†’
Dockerized applications for consistent, environment-agnostic deployments

$ grep -r "achievement" ./

βœ“
Supported CRM integrations across 6 platforms: Salesforce, Dynamics 365, Oracle Service Cloud, NetSuite, Siebel, Sugar CRM
βœ“
Improved plugin reliability through test-driven development practices
βœ“
Streamlined developer onboarding through Docker containerization
βœ“
Maintained data sync for enterprise systems handling millions of records

$ cat CHALLENGES.md

Multi-CRM API Abstraction

πŸ”΄ Challenge:

Each CRM platform had different APIs, authentication methods, and data models requiring separate implementations.

🟒 Solution:

Built an abstraction layer that normalized CRM operations (CRUD, search, sync) across platforms, allowing shared business logic with CRM-specific adapters.

$ cat details.md

Enterprise CRM Ecosystem

Working with enterprise CRM systems taught me:

  • API diversity across vendors (REST, SOAP, proprietary)
  • Authentication complexity (OAuth, API keys, session management)
  • Data model variations requiring flexible abstractions
  • Test-driven development for reliable integrations

This experience strengthened my ability to work with complex enterprise systems.


Technologies: Python, REST APIs, PostgreSQL, Celery

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