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Mohammad Soori

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OPEN TO COLLABORATIONS

Mohammad Soori

Lead Data Engineer & Architect
Data Platforms • Architecture • Data Quality

I lead the design and evolution of scalable data platforms, reducing data onboarding time from days to hours and establishing long-term architectural stability across finance, insurance, automotive, and telecommunications domains.
Taking ownership of platform direction, data quality standards, and modular ecosystem design to enable reliable, enterprise-grade decision-making.

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What I’m Currently Focused On

Driving platform excellence through architectural leadership.

  1. account_tree

    Architectural Governance

    Establishing long-term platform ownership models and cross-team engineering standards.

  2. widgets

    Modular Ecosystems

    Designing scalable, maintainable architectures for complex, multi-domain data environments.

  3. verified

    Quality & Reliability

    Advancing automated data validation, monitoring, and governance frameworks at scale.

  4. auto_awesome

    Applied AI Integration

    Exploring AI-driven approaches to enhance platform optimization and operational efficiency.

layersArchitecture Stack

cloud

Azure • AWS

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Snowflake

memory

Databricks

stream

Kafka

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Fivetran • Airbyte

air

Airflow

database

dbt

layers

Terraform

smart_toy

Python • AI & LLM

handshakeLet’s Build Scalable Data Platforms

Available for:

  • Lead Data Engineering roles
  • Data Platform Architecture initiatives
  • Strategic data modernization projects

timelineProfessional Journey

2023 - Present

Lead Data Engineer & Architect

Finance Data Platforms • Remote

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  • Designed and owned a cloud-based data lakehouse architecture supporting finance and CRM analytics.
  • Defined platform standards around data quality, reliability, and scalability across ingestion and transformation layers.
  • Evolved the platform into a modular architecture to improve data source onboarding, transparency, and long-term maintainability.
2020 - 2023

Senior Data Engineer

Enterprise Analytics Environment • Remote

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  • Designed and implemented scalable data pipelines and analytical data models for enterprise environments.
  • Ensured data correctness, lineage, and reproducibility across batch and near-real-time workflows.
  • Introduced data quality validation and controlled release processes to reduce production regressions.
  • Improved platform scalability through standardized data patterns and incremental processing strategies.
2017 - 2020

Data Pipeline Engineer

Large-Scale Data Services • On-site

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  • Designed and implemented batch and streaming data pipelines for operational and behavioral analytics.
  • Developed monitoring and alerting mechanisms to improve data reliability and incident response.
  • Collaborated with cross-functional teams to support data-driven decision-making at scale.
2015 - 2017

Database Engineer & Software Developer

Enterprise Information Systems • On-site

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  • Designed and implemented core database schemas and backend components for enterprise systems.
  • Improved data consistency, performance, and accessibility across multiple applications.
  • Supported business operations through reliable data storage and reporting solutions.
2013 - 2015

Database Designer & Programmer

Telecom & Infrastructure Systems • On-site

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  • Designed and implemented a telecom-grade AAA (Authentication, Authorization, Accounting) platform.
  • Handled high-volume operational data with a focus on reliability and secure system design.
  • Built accounting and operational data systems supporting critical business workflows.
2008 - 2012

Faculty Member & Academic Lecturer

Computer Engineering Education • On-site

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  • Delivered undergraduate courses in software engineering, databases, operating systems, and data systems.
  • Supervised student projects with emphasis on applied system design and problem solving.
  • Bridged academic concepts with real-world engineering practices.