Iβm a Data Engineer focused on building scalable, production-grade data systems for analytics and machine learning.
My work centers on designing reliable ETL/ELT pipelines, optimizing distributed processing workflows, and delivering cloud-native data solutions for global clients.
- π CS Graduate β Sukkur IBA University
- πΌ Freelance Data Engineer (International clients)
- β‘ Strong in Python, PySpark, SQL, with large-scale dataset processing (100M+ rows)
- βοΈ Hands-on with Azure Data Factory, Databricks, Snowflake, BigQuery, and GCS
- π€ Applying ML in FinTech use cases (algorithmic trading + fraud analytics)
- π Open to global opportunities and high-impact collaborations
- Data Engineering: ETL/ELT pipelines, Data Modeling, Data Harmonization, Batch & Incremental Loads
- Big Data: Apache Spark, PySpark, Performance Tuning, Large-Scale Transformations
- Cloud Data Stack: Azure Data Factory, Databricks, Snowflake, BigQuery, GCS
- Analytics Engineering: SQL optimization, warehouse design, data quality checks, validation frameworks
- ML Data Foundations: Feature pipelines, clean training datasets, reproducible data workflows
- FinTech Data Systems: Trading pipelines, fraud analytics architecture, historical + near real-time processing
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Scalable pipelines for high-volume structured/semi-structured data
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Analytics-ready datasets for BI and ML teams
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Faster query performance through optimized transformations and SQL
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Reliable orchestration, monitoring, and data quality controls
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Business-focused data solutions that improve decision-making
- ETL/ELT Pipeline Engineering
- Cloud Data Platform Implementation
- Lakehouse/Warehouse Data Architecture
- Data Quality & Performance Optimization
- FinTech and ML-Ready Data Systems
Data Engineer, Freelance Data Engineer, ETL Developer, PySpark Engineer, Big Data Engineer, Azure Data Factory Developer, Databricks Engineer, Snowflake Developer, BigQuery Specialist, Data Pipeline Architect, FinTech Data Engineer