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Data Analyst @TuringEnterprises
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Data Analyst @TuringEnterprises
3 followers · 12 following
  • Turing
  • India

Achievements

Achievement: Arctic Code Vault Contributor

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Achievement: Arctic Code Vault Contributor

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OsamaMustafa32/README.md

Hi there 👋

I'm Osama Mustafa, a Data Analyst at Turing, currently working on fine-tuning and evaluating multimodal LLM models. My expertise spans building end-to-end data pipelines, real-time streaming systems, and cloud-scale data lakehouses. I am passionate about scalable data architectures and actively seeking opportunities in data engineering.

💻 Tech Stack:

C C++ Python Java Dart Apache Spark Apache Kafka Apache Hadoop Apache Hive Apache Airflow Databricks Data Warehousing AWS MySQL MongoDB Postgres ApacheCassandra Pandas NumPy Matplotlib Flask Flutter Git Docker Postman Android Studio VSCode

🌐 Socials:

LinkedIn GitHub

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  1. Enterprise_Retail_Data_Lakehouse Enterprise_Retail_Data_Lakehouse Public

    Batch retail data lakehouse on Databricks: Delta Live Tables (bronze → silver → gold), Unity Catalog, synthetic data generator, and an executive analytics dashboard.

    Python

  2. Realtime-Transaction-CDC-Pipeline Realtime-Transaction-CDC-Pipeline Public

    Event-driven pipeline streaming financial transactions end-to-end: API Gateway → DynamoDB → CDC via Streams → Kinesis → S3 Data Lake → Athena SQL Analytics

    Python

  3. Booking-Event-Driven-Data-Pipeline Booking-Event-Driven-Data-Pipeline Public

    Event-driven AWS pipeline — S3 → CloudTrail → EventBridge → Step Functions → Glue ETL (PySpark) → Redshift, with data quality validation, circuit breaker, and SNS alerts

    Python

  4. Realtime-Profile-Ingestion-Pipeline Realtime-Profile-Ingestion-Pipeline Public

    Real-time data pipeline that ingests user profiles from a REST API, streams them through Kafka, processes with Spark Structured Streaming, and persists to Cassandra — orchestrated by Airflow and fu…

    Python

  5. Sentiment-Driven-Stock-Analysis Sentiment-Driven-Stock-Analysis Public

    This project predicts stock market performance using sentiment analysis of news headline. The sentiment is visualized using Treemap

    Jupyter Notebook 1 1

  6. Airline-Passenger-EDA-ML Airline-Passenger-EDA-ML Public

    Jupyter Notebook