Python Data Engineer specializing in Salesforce to Snowflake ETL and scalable data integration.
I am a Python Data Engineer with hands-on experience building
Salesforce to Snowflake ETL and data integration pipelines for
large-scale business systems.
My work focuses on extracting data using Salesforce Bulk API
2.0 with fallback to Bulk API 1.0, implementing incremental
sync strategies, and managing schema changes without disrupting
existing data flows.
I have designed and maintained pipelines that process millions
of records using Python, Snowflake COPY INTO and MERGE, and
structured logging for traceability and monitoring.
I regularly work with FastAPI, Celery, Docker, and cloud-based
deployments to ensure ETL processes are reliable, maintainable,
and easy to operate.
I value clear communication, realistic timelines, and clean,
production-ready solutions that clients can confidently extend
and maintain.
Work Terms
• Availability: 20–30 hours per week
• Time Zone: IST (flexible overlap with US and EU hours)
• Communication: Guru messages and scheduled calls
• Updates: Regular progress updates with clear milestones
• Payments: Hourly or fixed-price via Guru SafePay
• Approach: Requirement clarification before starting work