Data Engineering | Azure | Databricks | Snowflake | PySpark | SQL

I am a results-driven Data Engineer with 4+ years of experience designing, building, and optimizing high-performance data pipelines and cloud-based solutions. My expertise spans Azure Data Factory, Databricks, Snowflake, PySpark, and SQL, enabling me to deliver scalable, secure, and efficient ETL/ELT workflows for telecom and financial domains.

Over the years, I’ve helped organizations:

-Reduce ETL failures by 50% through robust pipeline design and automated monitoring
-Migrate and optimize large datasets in Snowflake for faster query performance and lower costs
-Integrate APIs and build data layers for Power BI, enabling real-time business insights
-Design Spark configurations to handle heavy joins and complex transformations efficiently

I am passionate about turning raw data into actionable insights while ensuring data quality, security, and compliance. I excel in collaborating with stakeholders to understand business goals and translate them into practical technical solutions.

When I’m not engineering data workflows, I stay updated with the latest trends in big data, cloud, and analytics ensuring my clients always get future-ready solutions.

Work Terms

Available for both short-term and long-term projects
Preferred communication via platform chat, Zoom, or Microsoft Teams
Flexible working hours, able to adapt to different time zones
Payment terms: As per project milestones or hourly rate, discussed upfront
Committed to delivering high-quality work with clear documentation and timely updates