Data Engineer | Snowflake | Python | SQL | Azure | AWS
I am a Data Engineer with hands-on experience building scalable cloud-based data pipelines and analytics solutions using Snowflake, Python, SQL, Azure, and AWS technologies.
I specialize in ETL/ELT pipeline development, data transformation, data validation, cloud data warehousing, and reporting solutions. I have worked on enterprise-scale projects involving structured data processing, warehouse optimization, automation, and analytical data modeling.
My technical expertise includes Snowflake, PySpark, Azure Fabric, AWS Glue, Redshift, Airflow, Power BI, BigQuery, and REST API integrations. I also have backend development experience using Django and Python-based automation solutions.
I focus on delivering clean, scalable, and production-ready solutions with proper documentation, communication, and timely delivery.
Services I can help with:
• ETL / ELT Pipeline Development
• Snowflake Development & Optimization
• SQL Development
• Python Automation Scripts
• Data Cleaning & Transformation
• Azure & AWS Data Engineering
• Power BI Dashboards
• API Integration
• Data Validation & Quality Checks
• Cloud Data Warehouse Solutions
• Reporting & Analytics Pipelines
I am open to both short-term and long-term projects and always aim to provide reliable and high-quality work.
Work Terms
• Clear and documented project requirements preferred before project initiation.
• Available for approximately 4 hours per day on weekdays. Additional availability can be discussed for urgent tasks.
• Communication through Guru messages, Zoom, Google Meet, or email.
• Weekly progress updates and transparent communication throughout the project lifecycle.
• Payment Schedule: Weekly
• Preferred project types:
* Data Engineering
* ETL / ELT Development
* Snowflake Projects
* Python Automation
* SQL Development
* Dashboard & Reporting Solutions
• Flexible with both fixed-price and hourly projects depending on scope and complexity.
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