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Dubai Lead Generation Platform: Automated CRM Data Processing
Full Stack & Automation

Dubai Lead Generation Platform: Automated CRM Data Processing

Python/Flask CRM pipeline for the Dubai real estate market — Pandas ETL for bulk CSV ingestion, UAE phone validation, automated Twilio SMS outreach sequences, and PostgreSQL deduplication converting raw contacts into qualified sales opportunities.

2023 · Python Backend Developer & Data Engineer

Project overview

The challenge

  • Real estate agents received leads from many sources in inconsistent formats, requiring hours of manual cleanup.
  • Purchased lead lists contained many invalid phone numbers, wasting SMS campaign budgets.

Engineered a specialized lead generation and management platform for the Dubai real estate market, processing thousands of leads from various sources with automated data cleaning and enrichment workflows.

Built ETL pipelines using Pandas to validate, deduplicate, and normalize lead data from CSV imports. Implemented international phone number validation using the phonenumbers library, ensuring SMS campaigns only target valid UAE mobile numbers (+971).

Integrated Twilio API for automated SMS outreach campaigns, enabling real estate agents to engage with qualified leads immediately. Developed an audit schema tracking all data transformations, ensuring GDPR compliance and data lineage for regulatory requirements.

Technical architecture

Click diagram to zoom

CSV Ingestion: Flask web interface accepts CSV uploads. Pandas reads and validates file structure before processing.

Data Validation Pipeline: phonenumbers library validates international format, filters for UAE mobile numbers, rejects non-UAE numbers.

Deduplication: SQL queries check existing leads by phone and email, preventing duplicate CRM entries.

Twilio Integration: Automated SMS campaigns for qualified leads with customizable templates.

Audit Trail: PostgreSQL schema logs every transformation for compliance and debugging.

Key challenges & solutions

1

International Phone Number Validation

Used Google's phonenumbers library to parse international formats. Implemented regex for UAE mobile patterns (+971 5X).

2

Pandas ETL Performance for Large Files

Optimized Pandas processing for large CSVs using chunked reading (chunksize=1000).

3

Data Lineage and GDPR Compliance

Implemented comprehensive audit schema tracking source files, transformations, and delivery status, ensuring GDPR compliance.

Impact & results

Bulk CSV lead ingestion and cleanup with a Pandas ETL

Automated Twilio SMS outreach sequences on validated numbers

Contacts deduplicated in PostgreSQL across lead sources

Key features

  • CSV batch import and processing
  • International phone number validation
  • Automatic deduplication logic
  • Twilio SMS campaign integration
  • PostgreSQL relational database
  • Flask web interface for data management
  • Audit trail for all transformations
  • Data validation with custom validators
  • Schema migration scripts
  • Error handling and rollback mechanisms

Technologies used

Python 3FlaskPostgreSQLpsycopg2PandasphonenumbersTwilio APIpython-dotenvSQL

Project details

Client
Dubai Real Estate Agency - Freelance
Timeline
2023
Role
Python Backend Developer & Data Engineer

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© 2026 Firas Jday · Senior Full Stack Engineer & Tech Lead · Tunis, Tunisia

Available for CDI & senior freelance — French & international market · jdayfiras.com

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