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Mohamed AliMA

Mohamed Ali

Senior Data Engineer

800 €/Tag
Berlin, DE
8-15 Jahre

Durchschnittliche Reaktionszeit: 1h

Über Mohamed

Berlin-based Senior Data Engineer helping companies turn raw data into actionable insights. With a background in Software Engineering and Wirtschaftsinformatik, I bring a rigorous engineering mindset to data pipelines.

I am available for projects involving ETL/ELT pipeline construction, cloud migrations, and infrastructure automation.

Technical Stack & Expertise:


Core Languages: Python (Proficient), SQL (Proficient).


Orchestration & Modeling: Apache Airflow, DBT (Cloud & Local).


Cloud Platforms:

GCP: BigQuery, Cloud Composer, Cloud Run, Pub/Sub.

AWS: Redshift, Aurora, Lambda, EventBridge, DMS.


DevOps & CI/CD: GitHub Actions, Docker, Terraform (Infrastructure as Code).



Reporting: Power BI, Metabase, Google Data Studio.
  • Englisch

    Muttersprachlich oder zweisprachig

  • Arabisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
Berlin (bis zu 50 km)

Projekt- und Berufserfahrung

  • Wellster Healthtech,
    Senior Data Engineer
    DIGITALAGENTUREN & IT-CONSULTING
    September 2023 - Dezember 2025 (2 Jahre und 3 Monate)
    Berlin, Germany
    + Rebuilt the data infrastructure end-to-end, including architecture design and implementa
    tion of core data engineering components.
    + Optimized DBT Modeling layer by implementing an incremental approach to process ing, storage and updates which lead to decrease in cost by 30% and decrease in processing time by 70%, additionally migrated from DBT local to DBT Cloud with zero downtime.
    + Configured GCP Datastreams to connect AWS Aurora databases to BigQuery for
    real-time data syncing.
    + Established a staging environment, resulting in a 80% increase in feature development efficiency.
    + Implemented a real-time GA4 event pipeline: data ingested via Pub/Sub, pro cessed and enriched in Databricks, and written to BigQuery for low-latency analytics.
    + Designed and implemented data pipelines using Apache Airflow and Python to integrate HubSpot data (forms, contacts, deals and Sales Leads) into the company's reporting
    infrastructure.
    + Built automated tests using Pytest and deployed them in Google Cloud Run, trig
    gered by PRs in GitHub via GitHub Actions.
    + Hired and built a small data team (Data Scientist, Junior Data Engineer) to scale
    and manage the company's growing data needs.
    + Tech Stack: Python, SQL, DBT, Airflow, BigQuery, Databricks, GA4, Pub/Sub, Cloud Composer, Cloud Run, GitHub Actions and PyTest
    Python DBT BigQuery Google cloud Databricks
  • Cintellic,
    Senior Data Engineer (Contract/Freelancer)
    DIGITALAGENTUREN & IT-CONSULTING
    Mai 2023 - August 2023 (3 Monate)
    Bonn, NW, Germany
    + Designed the data architecture for the Competitor Intelligence department to collect
    and structure market and project data.
    + Developed web crawlers to gather information on open positions within Cintellic's
    customer base.
    + Planned and executed migration of internal on-premise infrastructure to Microsoft Azure.
    + Built internal reporting solutions using Power BI to provide actionable insights for
    stakeholders.
    + Tech Stack: Python, SQL, Azure Synapse,Azure Data Factory, Power BI, Web Scraping,Zyte API
    Python SQL Microsoft Azure Azure data factory Scrapy
  • Kollex
    Senior Data Engineer
    DIGITALAGENTUREN & IT-CONSULTING
    Juni 2021 - März 2023 (1 Jahr und 9 Monate)
    Berlin, Deutschland
    + Built the entire data infrastructure from scratch, including architecture design and implementation of core data pipelines in Apache Airflow and DBT Cloud models.
    + Created DBT transformation models and developed advanced customer metric aggrega tions.
    + Configured AWS Data Migration Service (DMS) to replicate data in real-time from Aurora MySQL to AWS Redshift, ensuring up-to-date analytics while orches
    trating downstream DBT transformations.
    + Built dashboards in Metabase for management and shareholders, providing visibility into
    company performance and operational KPIs.
    + Developed a customer classification algorithm to segment shareholders into buckets,
    enabling more targeted approaches for client reactivation.
    + Created an event-driven data exchange pipeline between the company and stake holders using AWS EventBridge, S3, and Lambda functions.
    + Created metrics dashboards in Metabase for product and sales teams, supporting moni toring of customer growth and business performance.
    + Tech Stack: Python, SQL, DBT, Airflow, AWS DMS, AWS Redshift, AWS S3, AWS Lambda, AWS EventBridge
    Python DBT Amazon Redshift Apache Airflow AWS S3

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Ausbildung und Abschlüsse

  • Bachelor of Computer Engineering and Software Systems
    Ainshams University
    2016
  • BSc.Wirtschaftsinformatik
    Hochschule für Technik und Wirtschaft
    2021
    BSc.Wirtschaftsinformatik

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