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Indir07/README.md

👋 Hi, I'm Indir Lal!

🚀 Freelance Data Engineer | CS Graduate @ Sukkur IBA University

🔹 About Me

  • 🎓 Fresh Computer Science student specializing in scalable data engineering, ETL/ELT pipelines, and Big Data architecture.
  • 💼 Currently working as a Freelance Data Engineer (Level 1 Seller on Fiverr), delivering robust data workflows and harmonization solutions for international clients.
  • 💻 Proficient in Python, PySpark, SQL, with expertise in processing massive datasets (100M+ rows).
  • ☁️ Experienced with the modern data stack, including Azure Data Factory, Databricks, Snowflake, Google BigQuery, and GCS.
  • 🤖 Actively applying Machine Learning in FinTech, building algorithmic trading systems (CryptoVolt) and fraud detection lakehouses.
  • 🌱 Currently preparing for international Master's programs in Computer Science and Data Science.

🔹 Technical Skills

  • Programming Languages: Python, Java, C++, SQL
  • Data Engineering & Big Data: PySpark, Apache Spark, Airflow, Pandas, NumPy
  • Cloud & Data Platforms: Azure Data Factory, Databricks, Snowflake, Google BigQuery, Google Cloud Storage (GCS)
  • DevOps & Tools: Git, Linux, Docker
  • Databases: MySQL, PostgreSQL, MongoDB
  • Visualization: Matplotlib, Seaborn

🚀 Featured Projects & Experience

  • CryptoVolt (AI Algorithmic Trading): Developed a trading platform utilizing AI, custom model training logic, and integrated sentiment analysis capabilities.
  • Massive-Scale Data Harmonization: Engineered an ELT processing solution utilizing Google BigQuery and GCS to successfully merge and deduplicate a 400+-million-row dataset.
  • Fraud Detection Lakehouse: Designed and managed a data lakehouse architecture geared specifically toward FinTech analytics and fraud detection.

🔹 Let's Connect!

🚀 Always open to collaboration, open-source contributions, and new opportunities!

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